I think a lot of medical diagnosis could be solved with mass data collection if it was cheap enough. Right now, blood draws are somewhat routinely done because they provide a lot of human-interpretable indicators from a small number of values, and there is some evidence that e.g. "dogs can smell cancer" etc. (i.e. some diseases cause detectable odors).
With a big enough data set of [all kinds of bio values, including ones considered irrelevant for that disease] labeled with diagnoses, I suspect we could get very fast and accurate automatic diagnoses, even from a limited data set currently considered uncorrelated. Rather than going to your primary care physician, you'd go into the standardized, mass-produced and thus reasonably cheap everything-scanner, and you could likely get a more accurate diagnosis (or at least "things to check") than the average doctor would be able to give you under the practical constraints they typically operate under (time, available information/diagnostics).
This goes in that direction, and I'm really excited to see where it goes. I could imagine that given enough training data, ML models will be able to pick up on minute details that make it possible to diagnose diseases that weren't historically considered ultrasound-diagnoseable from this kind of detailed ultrasound.
I think combining it with gas chromatography/mass spectrometry of e.g. breath or blood/sweat/urine samples would also have the potential to be a cost-effective diagnosis method - lots of data, probably not all too useful for human interpretation, but would open the potential to walk up to a machine, breathe into it, spit into it, pee into it, give it a swab, and have it come up with an accurate diagnosis without invasive testing. If mass produced, the cost of something like this could easily drop below the cost of a typical doctor's visit. (I googled it and it seems like GCMS is already used for some diagnoses, but screening only for a few specific diseases rather than "throw ML at it and try to diagnose everything").
It's a controversial and complicated idea. The downside, and the reason why most doctors do not recommend full body scans, is that every human body is a bit weird and there will almost always be something "wrong" that will be visible in a full body scan. This can lead to unnecessary testing, anxiety, and even unnecessary procedures. Many of these oddities flagged by the scan would never have caused any actual issues had the patient never been aware.
While there are many individual stories of full-body scans detecting early-stage cancer before it became symptomatic, there seems to be a general sense among doctors that implementing full-body scanning on a population level would lead to overall more harm than good. The thinking is that it is better to do regular targeted screenings for diseases that you're in a risk group for (e.g. colonoscopies, mammograms, cancer marker blood tests, etc.) rather than full-body scans.
I'm not a doctor, and I personally do find the idea of full-body scans very appealing, but I also know that if the scan detects a possible cancer, I wouldn't be able to just ignore it if the doctor tells me it's likely ok. Any time I felt any pain or any sort of symptom in that general area, I know I would worry about it. Maybe that's worth it for the potential life-saving results, but it definitely is a cost of this type of scan that needs to be acknowledged.
The fundamental problem is that you generally can't diagnose simply from shapes. Scans show shapes, shapes cause concern, concern leads to invasive procedures, results are negative.
I think the anodyne to this is - and I admit the degree to which this is indicative of my biases! - more data, especially early on. Getting a good baseline before you have really any significant chance of most cancers to be able to do within-individual diffs, effectively, might be a big deal.
It might also reveal that every MRI shows ghost artifacts a half a dozen times that make it longitudinally useless, of course. I'm not foolish enough to think that epidemiologists haven't thought of this.
There’s a very good reason we don’t test asymptomatic people in low incidence populations. Basically all positives are false positives when you do that, no matter how accurate the test is.
When you’re testing healthy randos for everything the odds of a positive being false have so many 9s it would make an SRE weep.
Unless this is accurate to a degree previously unheard of in medical science it’s a boondoggle, and I can’t help but notice there’s no mention of accuracy.
So you are certainly correct but you can also tighten up your definitions for true positives as you have more information on your false positives. There may exist additional signal as well.
To your point though I think there is a difference between collecting and evaluating additional data sources and using them as diagnostic tools.
I suppose I fundamentally disagree with the implication of your post that there is no value in gathering further data for these reasons, it would seem to suggest we’re already diagnostically optimal and could not do better with additional signal.
If this argument was as solid as you say, then all routine checks would be pointless.
I don't know about traditional blood testing, but a permanent implant which checks HR, pressure, glucose, temperature & oxidation would be pretty useful, not necessarily to diagnose anything, but to provide data for doctor when patient has actual symptomps.
They kind of are. Spain doesn't have yearly physicals, and during a GP visit, they don't even take your blood pressure. Blood tests are extremely uncommon, unlike in British medicine, where they take your blood pressure every time and blood tests are so prevalent people usually request one from time to time despite having no symptoms.
Spain's example showed the above (or the lack of) doesn't increase all-cause mortality and even excelling in longevity statistics.
https://www.rieti.go.jp/en/columns/a01_0455.html
This japanese article found "No clear-cut evidence exists to determine whether undergoing health checks leads to greater longevity and/or lower medical expenditures."
Medicine is not a statistical field. I've seen many times doctors dismissing someone "you're young, you can't have X". Although there is some truth in what you're saying: full body CT scans are on the rise now.
That's precisely where medicine is headed: personalized medicine.
You [hopefully] won't have to become a rare missed diagnosis because you didn't fit the demographic for this or that screening test.
Cost of genomic analysis is exponentially decreasing, and so much progress is happening so quickly.
Consider for example how in cardiology we advanced from ASCVD's 10-yr prognosis, to the PREVENT 30-yr prognosis. And still most providers are using the ASCVD score for their patients.
You’re dealing with populations here. Literally the odds of a positive being false would be 99%. I’m not exaggerating. That means every almost every follow up you do is a waste of time, money and limited resources, denying care to those who need it. Including you when you actually do need it. It also exposes you to the risks of unnecessary follow-ups like infection. Your expected outcome is worse this way.
The chance a positive is real is so low you may as well just point to a body part and get it biopsied.
A positive from this kind of test is statistically meaningless.
Even at a smaller scale, I was shocked to go to the hospital in China and literally the first thing done was a blood sample, scanned under about 30 metrics, took about 15 minutes after the same was take. The results were sent straight to my phone. That sample had some horrendous results, so I then skipped the queue and got straight to see a doctor who already had all my numbers up on screen before he spoke to the for the first time, meaning he could immediately put me on an antibiotic drip.
In the rest of the world diagnostics aren’t expensive at all and medical data is centralized already (blood, MRI are almost routine for hospital visits, all data stored in govt systems).
During Covid it was useful for improving protocols.
The problem is: Since we don't regularly full-body scan healthy people, we don't know how healthy, or say, still ok, looks like. This will create a lot of false positives and potential harm from unneccessary follow-up procedures and treatments.
> pee into it, give it a swab, and have it come up with an accurate diagnosis without invasive testing.
Somebody should make a startup based around the idea of diagnosing diseases through eg. a drop of blood. Probably need a bunch of big name investors though
So, on the one hand, this is interesting! Reducing radiation from CT scans is a noble cause on its own. If on top of that it could make tomography cheaper and easier, you could imagine getting earlier detection of aneurisms, fibrosis, cirrhosis, thrombosis, stenosis, even plausibly cancerous masses (along with plenty of over-detection).
On the other hand, nothing here substantiates this promise. We've got a video render of what a hypothetical device could look like. It's probably more than nothing (they got exclusive license on these butterfly chips in 2025, and it's at least plausible that the best solution to the data bottleneck in an absurdly noisy system like this is real-time AI image processing)... But it's certainly less than something. It's a hype video that doesn't prove feasibility of anything, yet.
EDIT: This is all in reaction to the second video on the announcement post[0], which is much more informative than anything on the page currently linked.
LNT is the null hypothesis. No one disagrees a linear model fits the data very well in high doses. If you want to argue that model doesn't work in low doses, you need a model with more parameters and sufficient data to fit it. The issue is that, at these low doses we want to differentiate, we're also looking at effect sizes that are hard to separate from noise, and sampling biases that are hard to erase. There's still lively and ongoing debate.
Could you expand on the term "working"? Do you mean like "working to slowly lower a person into water while videos of animated Figma UIs play back on a monitor?" Or do you mean some crazy kind of "working", like "the ring of devices we see are scanning the organs of the woman we see and the images appearing on the monitor are those just-captured organ scans?"
The first video appears to be real. Who knows if it's a working prototype or just a mockup, but the fact that it's held together by C-clamps and other stuff you could get at Home Depot makes me lean towards the former. If it was purely for marketing they'd probably make it look more polished.
AI hype aside, this is one of those projects I'd like to know the open source stack of and the academic research behind. It's actually overlaps with an idea that started circling around in my head back when (deep) neural networks were the new hype cycle.
What's the relation between sensor density and resolution? If their array could give femtometer resolution, how much could you drop the density when you only needed to detect forearm muscle movements through the skim.
The way Ctl-labs was trying achieve the same results always seemed like it had fundamental physical limitations due to the nature of electromyography (to this software engineer...)
I'm not putting my head under. How do we know this won't cause aneurysms? Damage eyes and ears? Getting a medical device approved takes time because of concerns like this.
It might not actually cause harm or strange effects to people's bodies, but I'd certainly feel better if it was tested and used by doctors in a hospital and not some "spa" since those tend to be poorly regulated and where all kinds of quackery takes place (https://www.aafp.org/afp/afp-community-blog/med-spa-industry...).
The safety of the device itself is a concern, but so is the trustworthiness of the output. Midjourney already has some very questionable history with medical imagery (like this totally legit image of rat testicles published in "Frontiers in Cell and Developmental Biology" https://upload.wikimedia.org/wikipedia/commons/c/cc/AI_gener...)
From my understanding of the post, the waves that are created are smaller than light waves, and there's no evidence that light waves, sound waves or sub-sonic waves have any aneurysm-causing effects.
(I researched more and found in the video a value)
The waves are 50 nanometres, and this is basically the equivalent of having a full body ultrasound. We've been doing baby ultrasounds for decades with no ill effects, so I can't imagine this being different
This is ridiculously optimistic. The technology, USCT with full waveform inversion, is not new.
It’s already used in breast imaging (SoftVue) and hasn’t replace mammography. A body part ideally suited for ultrasound.
More compute many minimize some of the fundamental limits of sound waves (bone and gas) but I would be shocked if they have useful images of 90% of the body parts we image with CT or MRI and even beyond that I question how much it’s more useful than B-mode anyway.
Quite slow which means most things abdomen and chest will be motion degraded.
This may be useful in superficial areas but then why do whole body anyway. Might be some new niches and interesting research but hardly revolutionary in my opinion.
This is really interesting! And perhaps surprisingly doesn't trigger any immediate major technical red flags (as someone who has worked with MRI and phased array beamforming), as many HN HW articles do.
My only criticism from the tech video would be that they spend some time lauding the nanometer deflection sensitivity, which might lead some to believe that's indicative of the image resolution. It's not, and it's somewhat of a distraction -- that's just giving us amplitude information, which is comparatively less important than correlated time/phase across the 100k sensors. They do later on state ~mm resolution, which is still great!
Doppler and motion blur may be an issue (e.g. heart beating), as one slice requires a full ring of sequential exposures. But still way faster than MRI, so probably fine.
On a lighter note, it could seriously change the meaning of get FUCT (Full body Ultrasound Computational Tomography)!
> enough to give regular, monthly scans to a billion people.
There is a part of me that thinks it would be cool to get cheap full body scans. I like being able to see inside of myself. I can think of a lot of situations where the low-fidelity images coming out of this (they're not good compared to real medical imaging, if you've ever looking at MRI/CT up close) could be useful for coarse analysis of certain conditions that come and go or need to be monitored over long periods of time.
What I don't like is the idea of getting people to do full body scans every month just to be safe. This might sound like a good idea if you haven't looked at the literature on preventative full body imaging. Looking for bad things inside the body sounds like a great idea on the surface.
The problem is that imaging, especially when it's as rough as these ultrasounds, and possibly worse when augmented by AI guessing at what it's seeing, can lead to a lot of unnecessary procedures. The net effect can even become more harmful than the number of real problems it catches. There's a long history of research on this as many companies have tried to commercialize full-body scanning in the past. It frequently leads to situations where there's an unknown or ambiguous spot on the imaging that the person reading the scan can't rule out, which turns into a lot of anxiety and eventually more imaging, biopsies, or unnecessary surgeries. It's easy to think "better safe than sorry" until you realize how often these benign but ambiguous findings show up on full body imaging.
So my initial thoughts on this are that it would be good to make cheap ultrasonic imaging accessible as an as-needed service to use for specific conditions. I do not think it's a good idea to go down the road of trying to scan the entire population once a month and then run it through AI to see if anything pops up. The number of false positives would be overwhelming and lead to a lot of unnecessary procedures to calm the resulting anxieties.
This style of argument has always bothered me, because the correction to misdiagnosis or mistreatment is not to stop looking, it's _git gud_.
For sure, we have to be realistic about what processes will systematically have error, and if we can't stop a doctor from doing bad things with a piece of data we should shield them from it, but the tools to make scalable, calibrated risk estimates based on large data dumps is getting better every year.
There are physical limits to detection and technical parameters that make some situations indeterminate even for the best of the 'gud'. It is frustrating that, hearing an argument from many different individuals over a long time, you assume that each speaker is missing the critical insight that you possess.
> but the tools to make scalable, calibrated risk estimates based on large data dumps is getting better every year.
So your suggestion for indeterminate scans is more scans? There is no 'large data dump' personalized to you except for your own imaging.
> if we can't stop a doctor from doing bad things with a piece of data we should shield them from it
The doctor isn't the problem, it's the people who would be seeking out monthly imaging without symptoms
I go to the doctor every year for a checkup without symptoms. Why a year? Why not every six months? Two weeks? Day?
If the false positive rate is demonstrably low, I can't see the risk. People who think they need a doctor will go to a doctor with or without a fancy scan. People who want to play armchair physician will play armchair physician with or without a fancy scan.
> If the false positive rate is demonstrably low, I can't see the risk
The false positive rate is the entire risk.
When you go to the doctor for a physical they don't run all of the blood tests they can. They only run them for specific symptoms and for specific preventative measures where we've calculated that the benefits outweigh the risks of a false positive.
Some tests have been removed from routine exams, or at least discouraged, because they were producing more false positives and harm than what they were saving.
Full body scans are deep on the end of the spectrum of tests with high false positive rate when ordered without supporting symptoms. That's the risk.
> People who think they need a doctor will go to a doctor with or without a fancy scan. People who want to play armchair physician will play armchair physician with or without a fancy scan.
Not really how it works in real life. When you get a full body scan, especially with ultrasound, there are a lot of benign things that can show up that vaguely look like non-benign things. Even if the interpretation is "probably nothing", many people start worrying and think they need to get more tests just to be safe. Even people who don't see themselves as "armchair physician" will start thinking that they should at least rule out the worst case because they wouldn't want to die of cancer having known that something might have been there.
You can get scans without your normal doctor recommending them. The point is that there is evidence that scans obtained ‘just because’ are harmful as they lead to unnecessary procedures at the population level
More often it leads to people thinking they have issues when they don't.
The same thing happens with blood tests: You can order all the blood tests you want if you're willing to pay for them. If you order enough, you will get some that show up as abnormal. You can start spending tens of thousands of dollars ruling things out and never catch any real issues.
How do you get the false positive rate low? There's a lot of things that look weird on a scan that turn out to be benign. And if you tell patients "well the chance this turns into a serious disease or cancer is low but you can get this optional procedure to fix it now if you want" how many do you think will take them up on it?
A new chargeable procedure is for for the hospital but maybe not for patients imo.
Maybe there is a bias for action within our moral and legal system. Fundamentally if you can deal with uncertainty correctly or "perfectly" wouldn't more information always be better?
I have libertarian enough tendencies to think that if a person wants to self-operate, or pay for an operation that doctors are telling them is not justified given the evidence, then they should have right to do it. But I don't think that's what people normally mean when they say that eager screening causes harmful overdiagnosis.
> So your suggestion for indeterminate scans is more scans?
The solution to imperfect evidence is consistent and calibrated risk estimation of both disease and intervention.
The risk estimation is why people aren’t recommended to get scans! There are studies on ‘VIPs’ who get ‘executive MRIs’ and wind up getting treated for things that would never have justified intervention.
Isn't the way we decide what justifies intervention by comparing observational data, action and outcomes? Currently our observations are limited by many things including the cost and side effects. More frequent or better observations will improve the assessment of what justifies interventions.
That sounds more like a capitalism issue, to be honest. Treatment = revenue, so of course there will be unscrupulous individuals who will bend their oath and let patient anxiety drive care.
The trick seems like it would be to strongly incentivize waiting and watching any symptomless anomalies if further investigation is invasive. If you're getting 60 second scans every month then something growing will be catchable and something static or that disappears can be ignored until the next scan.
> This style of argument has always bothered me, because the correction to misdiagnosis or mistreatment is not to stop looking, it's _git gud_.
Exactly this. I mean, even if the scan is really indeterminate, at a minimum you can simply wait, then scan again. If it's truly something serious, it will become determinate at some point. Doing this is still better than nothing and carries no risks of unnecessary procedures.
exactly correct. if a bit of knowledge is dangerous, the correct response is not to choose ignorance, it is to get more knowledge about what dangers arise and problemsolve some more there. run it out a few hundred years and it is then no longer dangerous, and strictly better than ignorance.
No one is saying that we should stop looking. Especially not the commenter you replied to. They're saying the tech Midjourney presented isn't _gud_ enough to justify frequent scanning.
If Midjourney says "maybe you have cancer" but your doctor doesn't take it seriously, you might sue if you do end up with cancer. You might even win, regardless of whether "wait and see" was the right approach.
Meanwhile, if your doctor gives you an unnecessary CT scan that rules out cancer, hospital both earns $$$ and the doctor doesn't face legal consequences. Your increased chance of cancer risk from the radiation isn't something you can realistically sue over.
> The number of false positives would be overwhelming and lead to a lot of unnecessary procedures to calm the resulting anxieties.
If the scans are cheap and fast enough, the solution is to not do anything until you’ve observed the mass in question grow over time, not just be there.
I had to check the date after seeing the headline, and again after opening the page. Thought it was April Fools.
Regardless, as a doctor and full stack engineer, I'm looking forward to learning more about their methodologies, their approaches, but I don't think this is going to be displacing MRIs or remotely close, based off the cursory initial glance. If their vision is to be able to provide end users with more actionable data with some kind of "low fidelity" medical imaging data that is somewhere above zero and or standard imaging and high fidelity modalities like CT/MRI, then this could be somewhat interesting.
Not a radiologist and not medical advice. Just my two cents.
False positive rates are extremely important in the medical system as it exists today, where most scans will come without a known baseline and doctors cannot prescribe "biweekly scans for the next 6 weeks to see what changes". If we can achieve the kind of imaging abundance they're imagining (which I don't know how to evaluate based on their short post), I think false positives become much less of an issue, at least in the context of cancer where malignancy is the only problem.
False positives are important because of Bayes theorem. Even a test that’s 99% sensitive in a high incidence population can be indistinguishable from noise in a low incidence population.
If it has a 1% false positive rate but the incidence is 1%, the vast majority of the positives are false. Then you have to deal with the consequences, including invasive procedures for further diagnosis.
If you’re searching for tens or hundreds of low incidence conditions in the general population at a time it’s absolutely worthless because basically every positive is a false positive. At that point save the scan fee, spin a wheel of body parts and go get a biopsy of that.
This is why doctors are confused why companies are offering periodic full body scans in normal people. They only test people who are high risk or symptomatic to confirm a suspected diagnosis. That extra signal is what makes the test useful.
Go down to the medical diagnosis section for a worked example.
Regarding cancers every human has all sorts of weird lumps that are generally meaningless.
In order for this to not be a boondoggle it would have to be spectacularly accurate to a degree previously unheard of. Just from a statistics perspective.
As we gain more data, might we be able to find patterns in that data that we now cannot see? I'm not only thinking of these regular scans but combining it with other data sources, like maybe regular, more complete blood panels, Apple Watch data, whatever we can get our hands on. Maybe we can find data points that together have a lower false-positive rate, like lump plus increased nightly body temperature plus weight loss.
As a person experiencing UV sensitive skin, I’ve had multiple wheel-spin biopsies which turned out benign as expected, and at least once a year I find a weird looking spot I have take pictures of and promise to monitor for a bit. I don’t think there’s any reason this kind of stuff couldn’t be extended to other cancers if non-invasive next steps were available.
If you’re UV sensitive and at a higher risk then you’re already in a high incidence population making the tests valuable statistically speaking. That test is wildly more accurate for you than it would be for me, and even still you’ve been the unfortunate recipient of many false positives. There’s no reason for me or most people to do that since practically 99% or more of the positive tests would be wrong.
Biopsies are expensive, waste time, hospital resources and carry risks of infection and scarring that do not net out positively for people who aren’t in your risk group.
Getting a totally random positive doesn’t put you into a higher incidence category so whatever follow up test you take will be just as inaccurate as the first one.
The reason to avoid them is the tests would be a waste of time, statistically, and expose you to a bad risk-reward profile.
If you knew apriori 99% of the positive tests are false positive why are you taking the test?
It’s literally just math. Sometimes the right thing for you on average is to do nothing, which feels bad, but it’s still the right thing to do.
> Curing cancer is one of the only things I’d take a pay cut to do.
Send an email to this head-and-neck oncologist's lab. I saw a talk he gave at a Chicago-area national lab on open-source models for identifying malignancies in scanned pathology slides, and was smitten.
I read the site and it seemed pretty clear? It's a 3d, transparent, high res image of your whole body reconstructed from the wave data from a large number of high frequency ultrasound scans. But it's also a high end spa in San Francisco that softly scans your body. Then, you uh, do as you want with the data (presumably show it to your doctor, who will be perhaps bemused)?
Remember, commercialization isn't the goal. They don't need to make a profit, as a company, they just need to get people to invest in their company and not get charged with fraud for something along the way.
I don't understand how people can hate on this. It's probably the most novel & ambitious consumer health device ever? Plus they're doing it fully bootstrapped. Let them cook!
True, but on the other hand they have an actual prototype and they don't seem to be going around charming VCs... also, I didn't see anywhere they claimed to be able to diagnose or discover any disease.
So as opposed to bilking the ultra-wealthy to invest in a bunk idea, at worst this seems to be enticing them to pay for an at-worst expensive and possibly useless service. On that scale, it's downright ethical.
Not hating, but there's no way resolution gets as good as MRI with ultrasound computed tomography (https://en.wikipedia.org/wiki/Ultrasound_computer_tomography). Doing something like searching for room-temperature semiconductors so that MRI scanners are much cheaper to operate would be a more worthy goal.
There are many labs searching for room-temp superconductors. It's a research area with unknown results.
This project seems doable (just with a ton of data). Not sure about MRI level resolution, but CT is definitely not MRI level resolution but still extremely useful.
I think I hate any single product announcement that involves "We have nothing, but we'll have something next year, and then we'll have 50k locations worldwide just two years later!"
what's the novelty? mixing healthcare together with a spa is an idea older than Christ. USCT is decades old.
Their butterfly chips might be cool, but it's not like the article says anything about that. There's only one other comment in the whole thread that even mentions it.
I find using tens of thousands of ultrasonic chips, submerged underwater to provide you a radiation free full body scan, all while processing a petabyte of data per scan a pretty ambitious and cool project. I hope they make it work.
1 petabyte per 60 second scans implies a kind of comical data rate to storage, even at RAM speeds that’s implausible. Imagine we need to write these to hard drives, they happily sustain 150Mb/s on the high end, which would imply you’d need 115,000 hard drives to absorb that amount of writes. Even with top end NVMe drives you’d need a thousand of them writing simultaneously.
In my opinion the issue is that many (maybe most) people who've heard of Midjourney associate the brand with AI slop imagery. Whether that reputation is fair or not is beside the point.
Yeah, that's not just 'cart before the horse', it's more like cart before the wheel. They make a bunch of extraordinary claims yet offer zero evidence, info or even a plausible hypothesis on how those claims might be possible at the scale, timeframe (2027) and unit economics implied. Thank goodness they really thought through the accent lighting for a calming user experience though. Otherwise, I might have been concerned they're not serious. </s>
But they have a picture showing a higher resolution Ultrasound CT result than a 1978 MRI! Surely that's important and useful information by which we can judge their product.
I think it's a bit odd to compare this to an MRI. The physics are totally different and there are things it fundamentally won't image in the same way because it's basically just ultrasound.
The approach sounds like something which appears in a few research articles from the 2010s (ultrasound computed tomography), although submersion to make the ultrasound transmission more efficient seems novel.
It's possible the "spa" approach is used because it's hard to achieve the level of cleanliness required in a typical health facility using a shared bath.
I can only imagine the swarm of AI agents constantly feeding into this project at different levels of product development and even management. (To be fair, if it works out, it might become a template for future "AI-led organizations")
First of all, this is incredible. Like genuinely insane. Also I bet you can do crazy things with that tranducer. If stuff like this keeps coming out, we have nowhere near enough compute
There are 100M pregnant women right now. If it works for just for the vanity use of seeing your baby grow (forget the medical imaging aspect) and can be as casual and relaxing experience as they put forward, then I can see such a spa being wildly successful.
is ultrasonic scanning completely harmless for developing baby? when my wife was pregnant, I remember they wouldn't recommend too frequent ultrasonic scans...
Ultrasound is totally harmless, but doctors recommend ALARA ("as low as reasonably achievable"). Average baby is exposed to 50 - 90 minutes of ultrasound over three visits, though we had to go more frequently for scans for all three of my kids. This would be 36 minutes if you went in every week. If it was possible to get medical quality anatomy scans and avoid transvaginal scans (either because of the tech or simply just going reguarly enough to catch all the imaging you need) then it would win the entire US market for sure: roughly $3-7B for the ultrasounds (3.5M US births at $1-2k per for ultrasounds). also it's a spa -- prenatal wellness spend in the US estimate at $5-7B.
This is very ambitious and commendable. They are putting their bootstrapped money into something incredibly cool and potentially useful. Regulatory will be hard, but perhaps they can do something like a class 1 device which doesn't diagnose anything / is used by physical therapists and they sell them to gyms. I also expect the resolution to increase rapidly. If they can convert profits from generating weird ai images into new medical technology thats a win. Good luck! They will probably fail but this is what ambition looks like!
I'm scratching my head about why they would venture into an entirely different field like this, one with tremendous regulatory hurdles, if they know (and surely they must know) that radiologists are going to pan the results.
It's like if LeBron announced he was switching to bowling and was going to revolutionize the sport, then rolled a gutter ball.
Not sure. Image reconstruction/generation is a computationally intensive process, and in recent years DL based methods for improve image reconstruction have advanced fields like musculoskeletal MRI imaging. The physics behind this idea are interesting, but will have to wait to see if they produce images with high anatomic detail.
Instead of the value of evaluating a single scan, what about determinations made from evaluating regular deltas between images?
As a layperson, I'm mostly familiar with the concept of "get scanned, and a professional evaluates it"... are there scenarios where the approach of "imaging every few weeks, to make decisions based on trends" is currently done?
(From reading other comment threads here, I suspect the general answer is: other body-scanning startups have proposed the same thing, and it hasn't made sense)
As an aside, I could probably benefit from allergy shots, but the idea of having a regularly scheduled errand to do during the workweek is pretty unappealing, so I never seriously consider it.
can you say more? dont look great compared to current radiology, sure, but you see no potential in ultrasound diagnosis whatsoever? would it improving 10% change your mind? 10x? what's a good way to think about what "looks good" looks like?
That's basically the only thing I'm interested in reading about this. Based on my complete lack of radiology knowledge, I'd say the images look... a bit blurry or something? So, what would be an example of something this would not allow a radiologist/doctor to see?
Without those kinds of details, radiologists just expose themselves to: oh so you're telling me this doesn't work as well as the machines you paid ~millions of dollars for and are currently charging your clients a lot to use? Mmm I wonder why.
More data sounds better, but especially in a medical context, you have to be careful, because false positives have consequences. The PSA test is no longer broadly recommended for prostate cancer screening [1]. What harm could it do, you know more about your body, even if it's a noisy predictor? Most prostate cancer is slow growing, and something that men "die with" rather than "die of", so treatment can make for worse outcomes, without clear benefit.
It's not clear that we have the health infrastructure in place to know what to do with frequent, low resolution, whole body scans of the human body. How often do anomalies show up and then go away? How often are anomalies purely a scanning/data processing artifact? Who reads the scans and makes recommendations about follow-ups, if any? I think this is the kind of thing that sounds exciting and with low direct risk, but with all kinds of questions that are not only unanswered, but apparently unconsidered.
> It's not clear that we have the health infrastructure in place to know what to do with frequent, low resolution, whole body scans of the human body.
This is exactly my thinking. There are decades of longitudinal studies behind the recommendations physicians make based on given levels of e.g. cholesterol in a standard blood test. And critically, those depend on standard protocols around administering and testing samples.
This would be brand new and would not have any of that infrastructure. Which all tech starts at, good. But I would expect Midjourney to need to dig in for a few decades to get and analyze clinical results and outcomes.
For body scans, I think about how few people would know if they have e.g. three kidneys (or other distortion), and how that impacts/doesn't impact their health.
Most people do not undergo autopsy after death, so it's possible there are correlates between good/bad health outcomes that frequent scanning would eventually reveal. But it would take significant time for this to be apparent.
Yes. I spent a bunch of money on many of the optional extra imagining scans on my last health check up only to realize this afterwards. Humans have survived this far without this data. It would be better to spend resources on preventative things or lifestyle things known to promote health, than to obsess over seeing whats going on inside.
Other than the shapes of the tissues in the images, there is no anatomic detail. Wouldn't be useful for diagnostics. It's substantially worse than conventional ultrasound.
Would it be suitable for basic body composition (as they claim in TFA)? DEXA is a big business and companies push a subscription model where they encourage you to get monthly scans. The results are really fun to look at and the dose is admittedly very low, but you're still getting rastered by an x-ray. It would also explain the spa angle and hence why they're doing that before going for regulation.
> We’re starting by just giving you detailed body composition maps — and we’ll be submitting regular test results to the FDA for increased capabilities.
As far as I understand ultrasound there's no reason you couldn't do this, it's just infeasible to do a full body scan with a hand probe and you get covered in goop.
Besides the high probably that those images are fake, and probably this entire device is fake... if it were real then it would mean what they're showing in those images is not even close to an approximation of what the actual data could show you if they put more effort into volume rendering of 3D data (not unlike Voreen).
The resolution of typical DICOM images is much less than what they're saying they are actually capturing, so the reconstructed images they're showing are just terrible for no good reason.
But I suspect there is a bigger fundamental physics issue with this entire thing... I'm not convinced they can penetrate fully inside and all the way around a human with only non-ionizing energy, especially from that far away.
Which is why I pause when they say they're not looking for investor money – in medicine you'd at least have to phrase things in terms of "what already exists, and what's our contribution"? From that lens, I'm not sure what they're trying to contribute: instead of increasing the predictive value of full-body imaging, they're just making it cheaper?
Very unexpected but also really uplifting to see that they would spinoff a division to tackle this - it's ambitious. Obviously they've identified that the vertical is big enough and that they have the expertise or novel approach to tackle it, but i'm really curious to know how this came about internally.
Clearly something like this would need to be approved by the FDA, it is literally irresponsible to promote something like this as being more powerful than a MRI.
You shouldn't promote something like this as being useful for medical purposes, because some patients might think this is real and start sending their doctors these "scans" or even worse, some shitty doctors will use them to diagnose tumours in their patients so they can then make banger bucks out of their new hallucinated cancer patients.
Stuff like this needs to go through approvals for obvious reasons before they can advertise them for having medical purposes.
I watched the whole video thinking it was generated by Midjourney, the product, and that the announcement was related to fidelity in images/video around human anatomy. This seems like a very strange pivot for them indeed.
Looks like an array of ultrasound probes which is fine.. how does this deal with bone obstructing windows? the example with an abdo is feasible and fine but you cant do that with brain or easily with heart /lungs
For those who think this is a joke, there's no differnce between this concept and data centers in space concept, that's worth $2T. Both are not yet proven to work yet. At least they're not screwing the pubilc.
One thing invents a bunch of fake bullshit using artist's work and the other is supposed to give you an image of something real and meaningful that wasn't just hallucinated or patched together. All from the guy who brought us Leap Motion, a gimmicky product that failed to live up to the hype. This isn't exactly encouraging. If it actually works we won't need a press release on their website, we'll hear about it in medical journals and it'll be doctors singing its praises. You'll find it being used in hospitols and not pop-up spas.
Only after that happens will I have to even consider how comfortable I am with the idea of handing over what they suggest will be massive amounts of highly personal medical data to this company and how much I trust them not to exploit that information for their own purposes and profit.
For what possible reasons? Are people going to be doing these things recreationally? Cause otherwise you're talking about scanning the entire world's population, including the very young, the very old, the mobility-impaired, and those without easy access to US-based facilities (i.e.... people who are part of the small fraction of the global population who do not live in the US), twice over, every 18 months.
What possible use could there be for doing this?
I recognize that the presser says the scanners will be deployed "around the world," but let's be real, this will probably be 80% US.
"What possible use could there be for doing this?"
I've encountered this attitude before, and I always find it perplexing that there are people who are annoyed by, even hostile to, the idea of frequent health telemetry.
What possible use? How about giving people greater visibility inside their own bodies without having to navigate the labyrinth of the healthcare machine and without having to justify themselves to actuaries?
A counter point: a fixation on medical diagnoses can be counterproductive to living a good, happy, and healthy life. My implication is that data will lead to self-diagnosis, when maybe it’s not necessary.
There’s a reason most people don’t get medical scans every checkup, they’re simply not necessary for the majority of (healthy) people.
In Japan, the government gives everyone a battery of full body tests at least once per year. I guess you know better than Japan, right?
The whole argument that "you'll worry yourself sick" is such patronizing trash. It's obviously programming that came from the insurance industry, and you lapped it right up.
> The Ningen Dock is a comprehensive health checkup system that includes a battery of tests, including blood tests, chest X-rays, and ultrasound scans, among others as well as advanced diagnostic tests as Magnetic Resonance Imaging (MRI), Computerized Tomography (CT) or Endoscopy. These tests can help detect potential health problems early before they become more serious or difficult to treat.
I think there’s actually a difference between getting a battery of tests from a set of doctors (overseen by the government) tailored to your risk factors and a company trying to sell a fully body scan which they think you should casually get all the time.
because it has negative effects. Over scanning leads to, in particular with the economic incentives of the healthcare system at large not to mention a company like this, over-treatment. It's one of the reasons countries have scaled back mammograms because women have been forced into surgery and treatment with no meaningful improvement in outcomes. Prostate cancer being another one.
My wife's a cardiologist and hypochondriacs with smartwatches have become a frequent occurrence because healthy young people despite regular check ups have convinced themselves their watch telling them their pulse got high that one time must mean they're dying and they'll show up not one but five times.
The same is happening with so called "sleep optimizations" which themselves can produce insomnia as people start to self-monitor and enact sleep efforts.
Rather than dealing with the issue—hypochondriacs or whatever—you prefer to remove the option for the non-hypochondriacs?
The fact that doctors like your wife think that people who are concerned about their health and want more information is a problem tells me everything I need to know about your (and her) worldview. You've dressed it up as being pragmatic, but the reality is that you're arguing for censorship and against freedom of information.
>that people who are concerned about their health and want more information is a problem
It is a problem because there's evidence based standards for when examinations are indicated and prolong or improve a person's life. You being extremely concerned doesn't move that needle and subjecting you to tests simply because you're anxious is blatantly unethical and harmful to your psychological wellbeing.
And nope this isn't censorship, it's being mathematically literate and understanding how data production works. Here's an actual real world example. There are aids tests that are 99% accurate. About 30 in 1000 people in the US have AIDS. 99/1 is great odds, let's test everyone, data doesn't hurt right? Except as it turns out if you test a thousand people randomly you'll have 10 false positives and 3 people with AIDS, Bayes in action.
So if you sent every American through body scanners, which are less reliable than that test btw, you'd have quite literally millions of people in follow up procedures for diseases they do not have with their mental health ruined and the system ground to a halt, because producing information is not always the right thing to do.
That's definitely an important point to consider, in fact something I think everyone in these conversations should be cognizant of, and also why it makes me believe the actual conversation should move to whether the device improves false positives/negatives rates or not (or at least has a chance to), which then might warrant wider access/use.
A better question is if people are going high-res, why not go high-res with tests whose accuracy is known, and for which there are useful, data-driven treatments?
Instead of casting a net of unknown quality every month, comparing against a null dataset (there does not exist a large dataset of these scans with outcomes for given markers).
Why not advocate cheap, easy blood/urine tests with higher frequency? Those tests do have large reference datasets with outcomes. And they have prescriptive value: there is likely more benefit to catching hypertension or diabetes earlier in more people.
> What possible use could there be for doing this?
The point is to generate an enormous unlabeled dataset. Historically, ML for medical imaging depended on a small number of labeled images - small because you needed to have an expert study the image and label it as healthy/cancer/etc. But the "GPT breakthrough" was that it was better to use vast unlabeled datasets - in the case of LLMs, text - than small labeled ones.
The more we measure, the better we get at separating the false positive cases from the serious ones. Especially in a world where AI plays a bigger role in the development of the medial sciences.
Going forward into the future and not measuring more accurately because we are worried about false positives in our current limited understanding is a very conservative take.
> The more we measure, the better we get at separating the false positive cases from the serious ones.
On what basis do you say this? There is an extensive literature that refutes this. Scanners have been getting much better since the first CT scans and many more people are getting them.
False positives aren't a consequence of having the data, they're a consequence of misusing the data to issue diagnoses with insufficient evidence. "Just" don't set your thresholds for diagnosis so that you do that.
I'm not so worried about the data being useful, I'm worried about the machine actually working.
I mean, with that much data, you may be able to understand under what timeframe a tumor is actually of concern. What's so bad about having some false positives?
> What's so bad about having some false positives?
Having invasive surgery. Undergoing chemotherapy. The former is bad, the latter is basically a 'lets hope it kills the cancer before it kills you' situation.
It's arguable which one is worse, but I'd rather not have to ever partake in either of them again.
Ultrasound can also detect (some) kidney stones before they start moving and become painful, allowing an assessment of whether a medical intervention is useful or necessary. When I used to get kidney stones more frequently, there was a year or so when my doctor sent me for an ultrasound every few months to try to detect them in advance (!).
I think this is currently seen as too expensive to do for people who have lower risk, but I mention it as an example of something that one could check for more routinely given much cheaper ultrasound scans.
Prophylactic ultrasound exams are also apparently much more plausible on medical cost/benefit than prophylactic CT exams, because the CT exams very slightly increase one's cancer risk (https://xkcd.com/radiation/), where ultrasound doesn't.
(At a friend's doctor's suggestion, I started taking alkali citrate supplements and switched from almond milk to oat milk; I now apparently rarely get kidney stones.)
There's no reason that ultrasound imaging equipment needs to be expensive. Overall the parts are pretty cheap. I think everyone should have one next to their toothbrush. Whole body ultrasound scans would also be useful, although harder to place inside everyone's homes.
> What possible use could there be for doing this?
Early detection of disease, as well as every kind of physical issue with the body you can imagine.
The incredulity of the question seems rooted in the medical culture of our current time. It's easy to imagine a science fiction future where scans happen not every 9 months, but daily, in your home, and the idea of not constantly checking your full body would be as strange as not brushing your teeth is to us...
Lol. This isnt for everyone. This is for the rich. They are going to sell these things for personal use, for installation in homes. Take the top 100,000 families in the US, those that can afford a home unit. Scans then become as normal as taking a bath.
We are well on our way to that classic scifi trope of the villian being introduced as they soak a special tub of goop. (Dune, GOTG, Star Wars)
A Ferarri can do 200mph, but almost never does. Rolex watches come with helium valves, not that anyone understands what they are for let alone uses them. Luxury goods are always about untapped capacity.
Rich people have a phobia of death, unlike the rest of us for whom depression, disease, and injustice have really removed the sting of death and turned it more into "eh, if it happens it happens." So worry not: The rich wasting their money on biohacking fads are not being scammed, they are being consoled.
Hot take: the rich (especially the upper strata of the rich) are perfectly comfortable victimizing the non-rich in some material ways (from monopolistic practices, to lobbying against labour interests and union busting, to regulatory capture, to name a few).
To the extent you can really call pointing their behaviour out as victimizing them, I would consider bad PR to be a fair tradeoff.
Poor good. Rich bad. Good stuff should go directly to poor good people, never go to rich bad people. But that thing is for rich so by definition it is bad and not for the poor
I think getting more medical data could prevent a lot of health problems, and collecting it in a relaxed and frequent environment could be interesting. This announcement is honestly just... a bit weird. They're talking about wanting to do a billion scans a month, but they haven't even mentioned what the ultrasound data can tell you about your health, nor have they showed a physical demo of the product. I think the latter is the most important part, does it actually work?
Not a physician, I wonder about the general efficacy of random scans vs more boring traditional things like bloodwork. That is: is there more clinical power in doing blood + urine labs monthly or body scans like this?
That video gave me ESB Han Solo carbon freeze vibes. Not sure if that was the stylistic intent they were going for. I guess there's a good chance those who worked on the video weren't even born when it was released.
Outside of providing access to their core AI products at a free or discounted rate, what philanthropic initiatives are OpenAI and Anthropic pursuing to improve the lives of people in developing countries?. I can't recall seeing anything on their blog recently about it. Happy to be corrected.
This is pretty, but it's goals make it sound under-thought and somewhat silly. Typical "SF is coming to save the world" stuff.
> Our ambitious goal is by 2031 to have a fleet of over 50,000 scanners worldwide - with a total scanning capacity of a billion scans a month - enough to cover a huge percentage of the global population, or enough to give regular, monthly scans to a billion people.
> What This Leads To
> Whether or not our scanners are a service that everyone uses, to us, the most important thing is that everyone will be able to use them.
There is no way these will be available to a billion people. This is a luxury product for rich people, which is fine, but they cannot afford to run these for a billion people every month. Think of the infrastructure—both human and physical—to provide that. Think of the distribution of wealth across the world. Come on.
There are so many small, boring details that will have to be ironed out: many Americans won't fit in that machine, kids will not sit still, you'll have to clean them constantly (people pee in warm water), buying and re-tooling property for spas with zoning and licenses is arduous and jurisdiction-specific, etc. etc. etc.
What they are pitching and focused on (data, models, tech) is the fun part. It's not nearly most of the problem.
I'm not sure if they believe this (naïve, unserious) or if they don't (lying). Either way doesn't build trust.
Why is everyone so negative about this? Getting a CT or X-ray and then having AI do early screening on cases that doctors can pass along doesn't seem like a bad idea to me.
People are responding negatively to what looks very much like vaporware from a company stepping way outside its domain into medical imaging with a bizarrely positioned announcement post. Medical imaging is a very active field of research with many brilliant minds working on it. If this were truly an MRI killer, they would not be announcing it as a spa.
After reading to what you said and thinking about it seriously, I do think there were some parts that were too unrealistic. I considered a few things, such as whether the cost of data transmission during streaming, that is, the cost of constructing an entire human body from this single slice, is actually reasonable. Thanks for your comment.
When I think of 'YAMAHA's case, I believe they can fully realize their own ideas. These people are mainly experts in image-related fields, right? And we're talking about image AI—which, in practice, needs to recognize the characteristics of objects—so it seems to me that it's a fairly relevant field. But since you're more of an expert than I am, your opinion probably carries more weight.
It is in fact very probably a bad idea. A good search term here is "incidentaloma". The balance of evidence currently appears to suggest that full body scans for asymptomatic patients are a net negative for health.
Those claims are extremely suspect and completely support the current rationing and power structure of healthcare.
But, even granting they could be true, they would be true under the status quo.
Sure, a one off full body scan might be scary and lead to unnecessary action. But if a technology of the sort being described here were to exist, you would just get daily (or more frequent) scans to monitor the situation. Is that tumor actually growing or is it just a transient thing your immune system is dealing with? Way easier to tell if imaging is cheap, fast, and frequent.
And then there is the data.
No one knows what is actually going on in our bodies. If we had the ability to do billions of scans, imagine the longitudinal studies that could be performed.
How brainwashed by the healthcare machine do you have to be to think that catching asymptomatic medical issues is a bad thing? The argument against is literally:
- patients will worry too much, and
- it will cost time and money to investigate.
Both spurious rationales cooked up by an industry that is at least as hostile to humanity as it is helpful.
I'm just guessing here but similar to a CAT scan, having actuators/probes at all angles could mean you can get an image around such obstacles. skull is probably an exception and it's the reason why we don't see any head scans in any one of the videos.
Assuming it all works 50k scanners running nonstop at 60 seconds a scan is 2.1 billion scans a month. Assuming they aren't lying/exaggerating about anything, and assuming there is no downtime/setup/etc. in between. In other words, reeks of massive bullshit.
More just interested in medical imaging in general but: unobstructed soft tissue imaging is possible with this, e.g. abdomen. You can get reasonably good differentiation between types of tissues using ultrasound in this context although there is the potential for ambiguous findings where further scans like MRI will be required to get less ambiguous information about it.
Chest cavity, brain tissue scanning etc. will likely remain unrealistic as ultrasound waves won't penetrate bone and the ribs and skull will interfere.
If you could obtain volumetric/3D ultrasound data that was not operator dependent, that would be great.
US is a good diagnostic tool, but it can be challenging to read because obtaining good images is very operator dependent. You need to have a good sonographer that can get the right views, knows how to adjust the imaging parameters to produce high quality images. It's not like CT or MR where the tech just sets a few basic scanning parameters and let the machine do its job.
However, see my other comment, the example images they provide on the page do not look great, very limited organ detail.
Hmmm… such a slow rollout. In this age of AI assisted development I would expect them to move faster. I would be concerned about Chinese tech replicating this and then selling it to competing wellness spas.
I guess some type of software platform would add some competitive distancing?
I get the benefits of regular scans although I also know that they tend to catch a lot of otherwise benign tumors that can cause a lot of stress.
my first reaction: this pivot makes no sense at all to me.
my second reaction: maybe it does? did they hire up an army of physicists to make better diffusion models or something and they actually have people on staff who can do this?
> That, collectively, we can begin to change our relationship with our bodies and start to ask questions like: if we can catch things early, can we change our lifestyles to correct them?
We can already ask this question...
> And seeing our bodies change over time, alongside our actions, how much can we improve our health, our minds, and our lives?
Again, we can already ask this question
> We think it's completely possible that with enough early imaging in the future, the world could avoid 30% of all deaths and 50% of all healthcare costs. The cultural, physical, and mental health benefits of all of this are hard to comprehend, but also hard to overstate.
What? I have no idea what is meant here by "hard to overstate".
> You want as much data as you can get about your health as quickly and as cheaply as possible. In other words, you want a technology optimized for getting as many “megabytes per second per dollar” of information about your body.
Thanks for including the "megabytes per second per dollar" unit breakdown, I didn't understand the first sentence at all without that!
> And we live longer, healthier lives, better lives.
More AI slop
> When you step into the water, you’re standing on top of a platform. The platform is connected to rails and begins to descend into the water - an elevator gently lowering you at around 2 inches, or 5 centimeters, per second.
More AI slop. You'd only be done in 60 seconds if you're exactly 5 feet tall
Good luck. Had a friend do a startup that was using similar algos to how Google Maps detect roads in satellite imagery to detect cancer in tissues. Actually worked pretty well - ended up dying in the super long FDA approval phase.
The images and description of the launch seem like they are behind where my buddy was 10+ years ago - so I expect a pretty difficult road ahead, between getting to where it's actually medically viable, and then stomaching the FDA process.
> It starts by stepping into a shallow pool of golden light. You then begin to descend into the water. Your body passes through a ring of underwater sensors, each acting like a dolphin, using its echolocation.
...what. You descend into water and it scans your whole body? How do you breathe? How do you come out the other end?
Have they actually invented some type of novel scanning technology, or is this just AI slop gone wild?
It's great to see money made in one of the few remaining unregulated fields like math and software applied to problems in the heavily regulated healthcare industry. There is an asymmetry in healthcare innovation that nobody ever got fired for blocking a good thing, but you can lose your job for approving a bad one.
I'm also following the very inspirational journey of the former Gitlab CEO who battles cancer by founding companies with his own money [0].
I would have expected a lot more focus on privacy from something designed to regularly and casually create detailed 3D images of humans. The word 'privacy' doesn't even appear in the text.
Generative models have been used in healthcare for a while for things like drug design and data generation. Not to mention all the algorithms (and probably ML) used in generating results for MRI and CT scans. I don't think this is that crazy provided they can prove it's effective.
You can't be serious about conflating a host of technologies with fucking image generation or all things. This is the worst HN comment I've seen in months and there's been loads of competition.
I wish them all the best and hope they succeed, but can’t help but suspect they’ve fallen into deep LLM psychosis. Even if you assume they can build this thing and it works as described and then get past all the regulatory hurdles, the scale of infrastructure they’re talking about is enormous.
can’t help but suspect they’ve fallen into deep LLM psychosis
This is what came to my mind first too. It feels like the sort of thing you could come up with after a lot of ‘that’s a great insight!’, with the LLM eventually projecting absolute certainty that it’s a ground-breaking idea that’s definitely going to work.
I’m not sure whether I like that this is my knee-jerk reaction.
Do they have any sort of prototypes of this hardware that’s going to be working reliably in their custom-built spa in the notoriously difficult-to-get-permits-in San Francisco by the end of next year?…
> David Holz is the Founder & CEO of Midjourney, a generative artificial intelligence (AI)-powered platform that allows users to generate unique artwork such as characters, images and depictions through short text prompts.
I guess they pivoted from making ai-artwork to ultrasounds?
They are probably referring to the very real and unfortunate phenomenon wherein people use LLMs as sounding boards without consulting other humans, current frontier LLMs being heavily sycophantic in their responses.
This tends to create a feedback loop where unsound ideas are amplified.
The scans take 60 seconds, but at their stated numbers each machine would need to do a scan every 30 seconds 24/7. At this point I stopped reading because I don't have time to parse slop.
Well, the math is the other way. If you assume a 30 day month, you have 2,592,000 seconds each month to perform scans in. With 1,000,000,000 target scans and 50,000 machines, that's 20,000 scans per month per machine.
If you really hate your customers and don't care about cleaning out the tanks between scans, you could make this work. They have to be either able bodied to be able to move in and out quickly enough, or if they're not you just toss them unceremoniously onto the platform and drag them off after.
Apologies, must have got the maths wrong somewhere in the middle, but anyone who has ever had a medical scan will know that 2 minutes is laughable.
Realistically, a 60 second scan is going to take ~10 mins minimum, and will operate 8 hours a day, let's say charitably 7 days a week. Assume 50% utilisation due to staffing, repair, holidays, etc, we're looking at ~36m a month, or 0.036% of what is being pitched here. (8hrs * 6 scans * 30 days * 0.5 utilisation * 50k machines).
Yep, and with full body submersion, they'll need to change out that water regularly. And people think data centers waste water, Midjourney says, "Hold my beer."
spa as a regulatory bypass is clever, body comp data first and diagnostics later. 500k transducers doing full body ultrasound in 60s is a massive hardware bet for an image gen company tho
It's interesting to see an AI company need to pivot so hard in order to find revenue. I guess this means there is very little easy money to be made as more and more models get created, shared and downloaded by others.
Just an crazy idea, but if I were an unethical AI company that wanted to make better AI generated images of people's bodies, I might be tempted to offer very cheap full body scans in an unregulated fancy looking pop-up "med spa" where I could just use my AI to generate fake but impressive medical-looking pictures and then tell everyone who came in the results were inconclusive and they should get themselves checked out by an actual doctor in a hospital "just in case".
Maybe I'd even underpay a few people in developing countries with experience reading ultrasounds to check over the images so that if the humans detected anything suspicious I could give my sucker/client something more specific to tell their doctor about. That'd probably get me some good PR on social media as people post about how my fancy spa found their massive tumor or whatever.
Then I'd use their body scans as training data for my image generating AI. The waivers I'd have people sign to use the service would make sure that I wasn't at risk of any thorny legal issues from the use of all those images for training unlike the rampant copyright infringement method I'd been using previously and would also make sure I couldn't be held responsible for anything my scans found or didn't find.
Less cynically, maybe this thing will be nothing at all like that and one day it'll end up being used by real doctors in actual hospitals and save a bunch of lives or something. Who knows.
With a big enough data set of [all kinds of bio values, including ones considered irrelevant for that disease] labeled with diagnoses, I suspect we could get very fast and accurate automatic diagnoses, even from a limited data set currently considered uncorrelated. Rather than going to your primary care physician, you'd go into the standardized, mass-produced and thus reasonably cheap everything-scanner, and you could likely get a more accurate diagnosis (or at least "things to check") than the average doctor would be able to give you under the practical constraints they typically operate under (time, available information/diagnostics).
This goes in that direction, and I'm really excited to see where it goes. I could imagine that given enough training data, ML models will be able to pick up on minute details that make it possible to diagnose diseases that weren't historically considered ultrasound-diagnoseable from this kind of detailed ultrasound.
I think combining it with gas chromatography/mass spectrometry of e.g. breath or blood/sweat/urine samples would also have the potential to be a cost-effective diagnosis method - lots of data, probably not all too useful for human interpretation, but would open the potential to walk up to a machine, breathe into it, spit into it, pee into it, give it a swab, and have it come up with an accurate diagnosis without invasive testing. If mass produced, the cost of something like this could easily drop below the cost of a typical doctor's visit. (I googled it and it seems like GCMS is already used for some diagnoses, but screening only for a few specific diseases rather than "throw ML at it and try to diagnose everything").
While there are many individual stories of full-body scans detecting early-stage cancer before it became symptomatic, there seems to be a general sense among doctors that implementing full-body scanning on a population level would lead to overall more harm than good. The thinking is that it is better to do regular targeted screenings for diseases that you're in a risk group for (e.g. colonoscopies, mammograms, cancer marker blood tests, etc.) rather than full-body scans.
I'm not a doctor, and I personally do find the idea of full-body scans very appealing, but I also know that if the scan detects a possible cancer, I wouldn't be able to just ignore it if the doctor tells me it's likely ok. Any time I felt any pain or any sort of symptom in that general area, I know I would worry about it. Maybe that's worth it for the potential life-saving results, but it definitely is a cost of this type of scan that needs to be acknowledged.
It is neither controversial not complicated to detect some cancers by scent.
Taking the "headspace" of something is also not really complicated.
There are people who can reliably smell/detect Parkinson:
https://www.npr.org/sections/health-shots/2020/03/23/8202745...
But we would have great data over time, both individually (weird tends to only matter if they are changing) and as a population.
It might also reveal that every MRI shows ghost artifacts a half a dozen times that make it longitudinally useless, of course. I'm not foolish enough to think that epidemiologists haven't thought of this.
Bayes Theorem: https://en.wikipedia.org/wiki/Bayes'_theorem
There’s a very good reason we don’t test asymptomatic people in low incidence populations. Basically all positives are false positives when you do that, no matter how accurate the test is.
When you’re testing healthy randos for everything the odds of a positive being false have so many 9s it would make an SRE weep.
Unless this is accurate to a degree previously unheard of in medical science it’s a boondoggle, and I can’t help but notice there’s no mention of accuracy.
Unfortunately that’s just basic statistics.
To your point though I think there is a difference between collecting and evaluating additional data sources and using them as diagnostic tools.
I suppose I fundamentally disagree with the implication of your post that there is no value in gathering further data for these reasons, it would seem to suggest we’re already diagnostically optimal and could not do better with additional signal.
I don't know about traditional blood testing, but a permanent implant which checks HR, pressure, glucose, temperature & oxidation would be pretty useful, not necessarily to diagnose anything, but to provide data for doctor when patient has actual symptomps.
https://www.rieti.go.jp/en/columns/a01_0455.html This japanese article found "No clear-cut evidence exists to determine whether undergoing health checks leads to greater longevity and/or lower medical expenditures."
https://pubmed.ncbi.nlm.nih.gov/31642821/
And blood pressure is especially pernicious, basically every doctors office measures it wrong so the results aren’t particularly useful.
https://pmc.ncbi.nlm.nih.gov/articles/PMC1120072/
You [hopefully] won't have to become a rare missed diagnosis because you didn't fit the demographic for this or that screening test.
Cost of genomic analysis is exponentially decreasing, and so much progress is happening so quickly.
Consider for example how in cardiology we advanced from ASCVD's 10-yr prognosis, to the PREVENT 30-yr prognosis. And still most providers are using the ASCVD score for their patients.
The chance a positive is real is so low you may as well just point to a body part and get it biopsied.
A positive from this kind of test is statistically meaningless.
If you let it give out tons of false positives, then patients are trained to ignore it when it cries wolf.
If you dial it back so that it gives out fewer positives, then now it starts giving out false negatives and not helping sick people.
It's news to no one that tests are imperfect.
Do you have any concrete solution to that? Anything of value?
During Covid it was useful for improving protocols.
Somebody should make a startup based around the idea of diagnosing diseases through eg. a drop of blood. Probably need a bunch of big name investors though
On the other hand, nothing here substantiates this promise. We've got a video render of what a hypothetical device could look like. It's probably more than nothing (they got exclusive license on these butterfly chips in 2025, and it's at least plausible that the best solution to the data bottleneck in an absurdly noisy system like this is real-time AI image processing)... But it's certainly less than something. It's a hype video that doesn't prove feasibility of anything, yet.
EDIT: This is all in reaction to the second video on the announcement post[0], which is much more informative than anything on the page currently linked.
[0]https://www.midjourney.com/medical/blogpost
Is it? Linear No Threshold has largely been rejected at this point. https://jnm.snmjournals.org/content/early/2024/06/21/jnumed....
A good primer: https://pmc.ncbi.nlm.nih.gov/articles/PMC2477686/
Could you expand on the term "working"? Do you mean like "working to slowly lower a person into water while videos of animated Figma UIs play back on a monitor?" Or do you mean some crazy kind of "working", like "the ring of devices we see are scanning the organs of the woman we see and the images appearing on the monitor are those just-captured organ scans?"
What's the relation between sensor density and resolution? If their array could give femtometer resolution, how much could you drop the density when you only needed to detect forearm muscle movements through the skim.
The way Ctl-labs was trying achieve the same results always seemed like it had fundamental physical limitations due to the nature of electromyography (to this software engineer...)
The safety of the device itself is a concern, but so is the trustworthiness of the output. Midjourney already has some very questionable history with medical imagery (like this totally legit image of rat testicles published in "Frontiers in Cell and Developmental Biology" https://upload.wikimedia.org/wikipedia/commons/c/cc/AI_gener...)
(I researched more and found in the video a value) The waves are 50 nanometres, and this is basically the equivalent of having a full body ultrasound. We've been doing baby ultrasounds for decades with no ill effects, so I can't imagine this being different
It’s already used in breast imaging (SoftVue) and hasn’t replace mammography. A body part ideally suited for ultrasound.
More compute many minimize some of the fundamental limits of sound waves (bone and gas) but I would be shocked if they have useful images of 90% of the body parts we image with CT or MRI and even beyond that I question how much it’s more useful than B-mode anyway.
Quite slow which means most things abdomen and chest will be motion degraded.
This may be useful in superficial areas but then why do whole body anyway. Might be some new niches and interesting research but hardly revolutionary in my opinion.
My only criticism from the tech video would be that they spend some time lauding the nanometer deflection sensitivity, which might lead some to believe that's indicative of the image resolution. It's not, and it's somewhat of a distraction -- that's just giving us amplitude information, which is comparatively less important than correlated time/phase across the 100k sensors. They do later on state ~mm resolution, which is still great!
Doppler and motion blur may be an issue (e.g. heart beating), as one slice requires a full ring of sequential exposures. But still way faster than MRI, so probably fine.
On a lighter note, it could seriously change the meaning of get FUCT (Full body Ultrasound Computational Tomography)!
There is a part of me that thinks it would be cool to get cheap full body scans. I like being able to see inside of myself. I can think of a lot of situations where the low-fidelity images coming out of this (they're not good compared to real medical imaging, if you've ever looking at MRI/CT up close) could be useful for coarse analysis of certain conditions that come and go or need to be monitored over long periods of time.
What I don't like is the idea of getting people to do full body scans every month just to be safe. This might sound like a good idea if you haven't looked at the literature on preventative full body imaging. Looking for bad things inside the body sounds like a great idea on the surface.
The problem is that imaging, especially when it's as rough as these ultrasounds, and possibly worse when augmented by AI guessing at what it's seeing, can lead to a lot of unnecessary procedures. The net effect can even become more harmful than the number of real problems it catches. There's a long history of research on this as many companies have tried to commercialize full-body scanning in the past. It frequently leads to situations where there's an unknown or ambiguous spot on the imaging that the person reading the scan can't rule out, which turns into a lot of anxiety and eventually more imaging, biopsies, or unnecessary surgeries. It's easy to think "better safe than sorry" until you realize how often these benign but ambiguous findings show up on full body imaging.
So my initial thoughts on this are that it would be good to make cheap ultrasonic imaging accessible as an as-needed service to use for specific conditions. I do not think it's a good idea to go down the road of trying to scan the entire population once a month and then run it through AI to see if anything pops up. The number of false positives would be overwhelming and lead to a lot of unnecessary procedures to calm the resulting anxieties.
For sure, we have to be realistic about what processes will systematically have error, and if we can't stop a doctor from doing bad things with a piece of data we should shield them from it, but the tools to make scalable, calibrated risk estimates based on large data dumps is getting better every year.
There are physical limits to detection and technical parameters that make some situations indeterminate even for the best of the 'gud'. It is frustrating that, hearing an argument from many different individuals over a long time, you assume that each speaker is missing the critical insight that you possess.
> but the tools to make scalable, calibrated risk estimates based on large data dumps is getting better every year.
So your suggestion for indeterminate scans is more scans? There is no 'large data dump' personalized to you except for your own imaging.
> if we can't stop a doctor from doing bad things with a piece of data we should shield them from it
The doctor isn't the problem, it's the people who would be seeking out monthly imaging without symptoms
If the false positive rate is demonstrably low, I can't see the risk. People who think they need a doctor will go to a doctor with or without a fancy scan. People who want to play armchair physician will play armchair physician with or without a fancy scan.
The false positive rate is the entire risk.
When you go to the doctor for a physical they don't run all of the blood tests they can. They only run them for specific symptoms and for specific preventative measures where we've calculated that the benefits outweigh the risks of a false positive.
Some tests have been removed from routine exams, or at least discouraged, because they were producing more false positives and harm than what they were saving.
Full body scans are deep on the end of the spectrum of tests with high false positive rate when ordered without supporting symptoms. That's the risk.
> People who think they need a doctor will go to a doctor with or without a fancy scan. People who want to play armchair physician will play armchair physician with or without a fancy scan.
Not really how it works in real life. When you get a full body scan, especially with ultrasound, there are a lot of benign things that can show up that vaguely look like non-benign things. Even if the interpretation is "probably nothing", many people start worrying and think they need to get more tests just to be safe. Even people who don't see themselves as "armchair physician" will start thinking that they should at least rule out the worst case because they wouldn't want to die of cancer having known that something might have been there.
More often it leads to people thinking they have issues when they don't.
The same thing happens with blood tests: You can order all the blood tests you want if you're willing to pay for them. If you order enough, you will get some that show up as abnormal. You can start spending tens of thousands of dollars ruling things out and never catch any real issues.
A new chargeable procedure is for for the hospital but maybe not for patients imo.
> So your suggestion for indeterminate scans is more scans?
The solution to imperfect evidence is consistent and calibrated risk estimation of both disease and intervention.
The trick seems like it would be to strongly incentivize waiting and watching any symptomless anomalies if further investigation is invasive. If you're getting 60 second scans every month then something growing will be catchable and something static or that disappears can be ignored until the next scan.
Exactly this. I mean, even if the scan is really indeterminate, at a minimum you can simply wait, then scan again. If it's truly something serious, it will become determinate at some point. Doing this is still better than nothing and carries no risks of unnecessary procedures.
If Midjourney says "maybe you have cancer" but your doctor doesn't take it seriously, you might sue if you do end up with cancer. You might even win, regardless of whether "wait and see" was the right approach.
Meanwhile, if your doctor gives you an unnecessary CT scan that rules out cancer, hospital both earns $$$ and the doctor doesn't face legal consequences. Your increased chance of cancer risk from the radiation isn't something you can realistically sue over.
If the scans are cheap and fast enough, the solution is to not do anything until you’ve observed the mass in question grow over time, not just be there.
Regardless, as a doctor and full stack engineer, I'm looking forward to learning more about their methodologies, their approaches, but I don't think this is going to be displacing MRIs or remotely close, based off the cursory initial glance. If their vision is to be able to provide end users with more actionable data with some kind of "low fidelity" medical imaging data that is somewhere above zero and or standard imaging and high fidelity modalities like CT/MRI, then this could be somewhat interesting.
Not a radiologist and not medical advice. Just my two cents.
I could imagine this getting cheap enough that your local gym has one and you get checked once every 3 months.
Curing cancer is one of the only things I’d take a pay cut to do.
If it has a 1% false positive rate but the incidence is 1%, the vast majority of the positives are false. Then you have to deal with the consequences, including invasive procedures for further diagnosis.
If you’re searching for tens or hundreds of low incidence conditions in the general population at a time it’s absolutely worthless because basically every positive is a false positive. At that point save the scan fee, spin a wheel of body parts and go get a biopsy of that.
This is why doctors are confused why companies are offering periodic full body scans in normal people. They only test people who are high risk or symptomatic to confirm a suspected diagnosis. That extra signal is what makes the test useful.
Go down to the medical diagnosis section for a worked example.
https://en.wikipedia.org/wiki/Bayes'_theorem
Regarding cancers every human has all sorts of weird lumps that are generally meaningless.
In order for this to not be a boondoggle it would have to be spectacularly accurate to a degree previously unheard of. Just from a statistics perspective.
Biopsies are expensive, waste time, hospital resources and carry risks of infection and scarring that do not net out positively for people who aren’t in your risk group.
Getting a totally random positive doesn’t put you into a higher incidence category so whatever follow up test you take will be just as inaccurate as the first one.
The reason to avoid them is the tests would be a waste of time, statistically, and expose you to a bad risk-reward profile.
If you knew apriori 99% of the positive tests are false positive why are you taking the test?
It’s literally just math. Sometimes the right thing for you on average is to do nothing, which feels bad, but it’s still the right thing to do.
Send an email to this head-and-neck oncologist's lab. I saw a talk he gave at a Chicago-area national lab on open-source models for identifying malignancies in scanned pathology slides, and was smitten.
https://voices.uchicago.edu/pearsonlab/
Remember, commercialization isn't the goal. They don't need to make a profit, as a company, they just need to get people to invest in their company and not get charged with fraud for something along the way.
So as opposed to bilking the ultra-wealthy to invest in a bunk idea, at worst this seems to be enticing them to pay for an at-worst expensive and possibly useless service. On that scale, it's downright ethical.
This project seems doable (just with a ton of data). Not sure about MRI level resolution, but CT is definitely not MRI level resolution but still extremely useful.
Their butterfly chips might be cool, but it's not like the article says anything about that. There's only one other comment in the whole thread that even mentions it.
[0] https://www.theinformation.com/briefings/midjourney-revenue-...
Let doers do.
This community can be much better than that.
Is this some AI hallucination post?
Yeah, that's not just 'cart before the horse', it's more like cart before the wheel. They make a bunch of extraordinary claims yet offer zero evidence, info or even a plausible hypothesis on how those claims might be possible at the scale, timeframe (2027) and unit economics implied. Thank goodness they really thought through the accent lighting for a calming user experience though. Otherwise, I might have been concerned they're not serious. </s>
https://cdn.midjourney.com/static/medical/media/first_mri_vs...
From: https://www.midjourney.com/medical/scan_gallery
The approach sounds like something which appears in a few research articles from the 2010s (ultrasound computed tomography), although submersion to make the ultrasound transmission more efficient seems novel.
It's possible the "spa" approach is used because it's hard to achieve the level of cleanliness required in a typical health facility using a shared bath.
It's like if LeBron announced he was switching to bowling and was going to revolutionize the sport, then rolled a gutter ball.
Never underestimate the audacity of a software engineer with a new toy
> It's like if LeBron announced he was switching to bowling and was going to revolutionize the sport, then rolled a gutter ball.
Well, if you replace LeBron with Jordan, and Bowling with Baseball ..
As a layperson, I'm mostly familiar with the concept of "get scanned, and a professional evaluates it"... are there scenarios where the approach of "imaging every few weeks, to make decisions based on trends" is currently done?
(From reading other comment threads here, I suspect the general answer is: other body-scanning startups have proposed the same thing, and it hasn't made sense)
As an aside, I could probably benefit from allergy shots, but the idea of having a regularly scheduled errand to do during the workweek is pretty unappealing, so I never seriously consider it.
Without those kinds of details, radiologists just expose themselves to: oh so you're telling me this doesn't work as well as the machines you paid ~millions of dollars for and are currently charging your clients a lot to use? Mmm I wonder why.
It's not clear that we have the health infrastructure in place to know what to do with frequent, low resolution, whole body scans of the human body. How often do anomalies show up and then go away? How often are anomalies purely a scanning/data processing artifact? Who reads the scans and makes recommendations about follow-ups, if any? I think this is the kind of thing that sounds exciting and with low direct risk, but with all kinds of questions that are not only unanswered, but apparently unconsidered.
[1] https://www.cancer.gov/types/prostate/psa-fact-sheet
This is exactly my thinking. There are decades of longitudinal studies behind the recommendations physicians make based on given levels of e.g. cholesterol in a standard blood test. And critically, those depend on standard protocols around administering and testing samples.
This would be brand new and would not have any of that infrastructure. Which all tech starts at, good. But I would expect Midjourney to need to dig in for a few decades to get and analyze clinical results and outcomes.
For body scans, I think about how few people would know if they have e.g. three kidneys (or other distortion), and how that impacts/doesn't impact their health.
Most people do not undergo autopsy after death, so it's possible there are correlates between good/bad health outcomes that frequent scanning would eventually reveal. But it would take significant time for this to be apparent.
> We’re starting by just giving you detailed body composition maps — and we’ll be submitting regular test results to the FDA for increased capabilities.
As far as I understand ultrasound there's no reason you couldn't do this, it's just infeasible to do a full body scan with a hand probe and you get covered in goop.
https://pmc.ncbi.nlm.nih.gov/articles/PMC3770049/
The resolution of typical DICOM images is much less than what they're saying they are actually capturing, so the reconstructed images they're showing are just terrible for no good reason.
But I suspect there is a bigger fundamental physics issue with this entire thing... I'm not convinced they can penetrate fully inside and all the way around a human with only non-ionizing energy, especially from that far away.
https://s27.q4cdn.com/524696391/files/doc_presentations/2026...
What there isn't is good evidence that these full body scans actually improve outcomes.
Remind me of this, radar based.
EDIT: Actually looks like their announcement has another page linked for more details containing this video.
Stuff like this needs to go through approvals for obvious reasons before they can advertise them for having medical purposes.
Medical I don't care about futuristic sounding stuff. Just show me evidence based and clinically useful testing.
Use AI and new scans to help sure but prove it works otherwise this could be another dead end.
It looks like a legit attempt. Wow. This is insanely innovative.
Medical imaging is literally the last of the last places where you want to hallucinate a tiny little blob.
Where's your sense of fun and adventure? /s
Only after that happens will I have to even consider how comfortable I am with the idea of handing over what they suggest will be massive amounts of highly personal medical data to this company and how much I trust them not to exploit that information for their own purposes and profit.
For what possible reasons? Are people going to be doing these things recreationally? Cause otherwise you're talking about scanning the entire world's population, including the very young, the very old, the mobility-impaired, and those without easy access to US-based facilities (i.e.... people who are part of the small fraction of the global population who do not live in the US), twice over, every 18 months.
What possible use could there be for doing this?
I recognize that the presser says the scanners will be deployed "around the world," but let's be real, this will probably be 80% US.
I've encountered this attitude before, and I always find it perplexing that there are people who are annoyed by, even hostile to, the idea of frequent health telemetry.
What possible use? How about giving people greater visibility inside their own bodies without having to navigate the labyrinth of the healthcare machine and without having to justify themselves to actuaries?
There’s a reason most people don’t get medical scans every checkup, they’re simply not necessary for the majority of (healthy) people.
The whole argument that "you'll worry yourself sick" is such patronizing trash. It's obviously programming that came from the insurance industry, and you lapped it right up.
You're not arguing in good faith when you equate those.
> The Ningen Dock is a comprehensive health checkup system that includes a battery of tests, including blood tests, chest X-rays, and ultrasound scans, among others as well as advanced diagnostic tests as Magnetic Resonance Imaging (MRI), Computerized Tomography (CT) or Endoscopy. These tests can help detect potential health problems early before they become more serious or difficult to treat.
Maybe your employer pays for you to get a more comprehensive checkup by default and you're unaware of this?
But the ones vast majority of population here gets do not include MRI or CT or Endoscopy.
And, _even then_; specific checkups when you're looking for _specific things_ are still very different things than a full-body MRIs.
Surely, whatever this is giving you, getting a scan once a month must be plenty. They need a billion people to get a scan every month.
My wife's a cardiologist and hypochondriacs with smartwatches have become a frequent occurrence because healthy young people despite regular check ups have convinced themselves their watch telling them their pulse got high that one time must mean they're dying and they'll show up not one but five times.
The same is happening with so called "sleep optimizations" which themselves can produce insomnia as people start to self-monitor and enact sleep efforts.
The fact that doctors like your wife think that people who are concerned about their health and want more information is a problem tells me everything I need to know about your (and her) worldview. You've dressed it up as being pragmatic, but the reality is that you're arguing for censorship and against freedom of information.
It is a problem because there's evidence based standards for when examinations are indicated and prolong or improve a person's life. You being extremely concerned doesn't move that needle and subjecting you to tests simply because you're anxious is blatantly unethical and harmful to your psychological wellbeing.
And nope this isn't censorship, it's being mathematically literate and understanding how data production works. Here's an actual real world example. There are aids tests that are 99% accurate. About 30 in 1000 people in the US have AIDS. 99/1 is great odds, let's test everyone, data doesn't hurt right? Except as it turns out if you test a thousand people randomly you'll have 10 false positives and 3 people with AIDS, Bayes in action.
So if you sent every American through body scanners, which are less reliable than that test btw, you'd have quite literally millions of people in follow up procedures for diseases they do not have with their mental health ruined and the system ground to a halt, because producing information is not always the right thing to do.
Instead of casting a net of unknown quality every month, comparing against a null dataset (there does not exist a large dataset of these scans with outcomes for given markers).
Why not advocate cheap, easy blood/urine tests with higher frequency? Those tests do have large reference datasets with outcomes. And they have prescriptive value: there is likely more benefit to catching hypertension or diabetes earlier in more people.
The point is to generate an enormous unlabeled dataset. Historically, ML for medical imaging depended on a small number of labeled images - small because you needed to have an expert study the image and label it as healthy/cancer/etc. But the "GPT breakthrough" was that it was better to use vast unlabeled datasets - in the case of LLMs, text - than small labeled ones.
Going forward into the future and not measuring more accurately because we are worried about false positives in our current limited understanding is a very conservative take.
On what basis do you say this? There is an extensive literature that refutes this. Scanners have been getting much better since the first CT scans and many more people are getting them.
I mean, with that much data, you may be able to understand under what timeframe a tumor is actually of concern. What's so bad about having some false positives?
Having invasive surgery. Undergoing chemotherapy. The former is bad, the latter is basically a 'lets hope it kills the cancer before it kills you' situation.
It's arguable which one is worse, but I'd rather not have to ever partake in either of them again.
Um, that's still a tumor.
I think this is currently seen as too expensive to do for people who have lower risk, but I mention it as an example of something that one could check for more routinely given much cheaper ultrasound scans.
Prophylactic ultrasound exams are also apparently much more plausible on medical cost/benefit than prophylactic CT exams, because the CT exams very slightly increase one's cancer risk (https://xkcd.com/radiation/), where ultrasound doesn't.
(At a friend's doctor's suggestion, I started taking alkali citrate supplements and switched from almond milk to oat milk; I now apparently rarely get kidney stones.)
Hopefully it doesn’t become Gattaca.
Early detection of disease, as well as every kind of physical issue with the body you can imagine.
The incredulity of the question seems rooted in the medical culture of our current time. It's easy to imagine a science fiction future where scans happen not every 9 months, but daily, in your home, and the idea of not constantly checking your full body would be as strange as not brushing your teeth is to us...
Umm...the same use we get out of an annual physical or dental checkup.
We are well on our way to that classic scifi trope of the villian being introduced as they soak a special tub of goop. (Dune, GOTG, Star Wars)
That's about 1 scan per unit, every 2 minutes, 24/7.
To the extent you can really call pointing their behaviour out as victimizing them, I would consider bad PR to be a fair tradeoff.
If every hospital had one, even if they sat idle 90% of the day, thats enough to hit that target.
The spa approach is a little weird. FDA workaround?
Sounds good to me.
Not a physician, I wonder about the general efficacy of random scans vs more boring traditional things like bloodwork. That is: is there more clinical power in doing blood + urine labs monthly or body scans like this?
Outside of providing access to their core AI products at a free or discounted rate, what philanthropic initiatives are OpenAI and Anthropic pursuing to improve the lives of people in developing countries?. I can't recall seeing anything on their blog recently about it. Happy to be corrected.
> Our ambitious goal is by 2031 to have a fleet of over 50,000 scanners worldwide - with a total scanning capacity of a billion scans a month - enough to cover a huge percentage of the global population, or enough to give regular, monthly scans to a billion people.
> What This Leads To
> Whether or not our scanners are a service that everyone uses, to us, the most important thing is that everyone will be able to use them.
There is no way these will be available to a billion people. This is a luxury product for rich people, which is fine, but they cannot afford to run these for a billion people every month. Think of the infrastructure—both human and physical—to provide that. Think of the distribution of wealth across the world. Come on.
There are so many small, boring details that will have to be ironed out: many Americans won't fit in that machine, kids will not sit still, you'll have to clean them constantly (people pee in warm water), buying and re-tooling property for spas with zoning and licenses is arduous and jurisdiction-specific, etc. etc. etc.
What they are pitching and focused on (data, models, tech) is the fun part. It's not nearly most of the problem.
I'm not sure if they believe this (naïve, unserious) or if they don't (lying). Either way doesn't build trust.
But hey if not, actually cool.
The other part wonders if this is the next clinkle.
MJ has shipped stuff before though so I’m optimistic.
But, even granting they could be true, they would be true under the status quo.
Sure, a one off full body scan might be scary and lead to unnecessary action. But if a technology of the sort being described here were to exist, you would just get daily (or more frequent) scans to monitor the situation. Is that tumor actually growing or is it just a transient thing your immune system is dealing with? Way easier to tell if imaging is cheap, fast, and frequent.
And then there is the data.
No one knows what is actually going on in our bodies. If we had the ability to do billions of scans, imagine the longitudinal studies that could be performed.
It would radically alter medicine.
- patients will worry too much, and - it will cost time and money to investigate.
Both spurious rationales cooked up by an industry that is at least as hostile to humanity as it is helpful.
So im curious to know the limitations of this device
Chest cavity, brain tissue scanning etc. will likely remain unrealistic as ultrasound waves won't penetrate bone and the ribs and skull will interfere.
US is a good diagnostic tool, but it can be challenging to read because obtaining good images is very operator dependent. You need to have a good sonographer that can get the right views, knows how to adjust the imaging parameters to produce high quality images. It's not like CT or MR where the tech just sets a few basic scanning parameters and let the machine do its job.
However, see my other comment, the example images they provide on the page do not look great, very limited organ detail.
edit: clarification
I guess some type of software platform would add some competitive distancing?
I get the benefits of regular scans although I also know that they tend to catch a lot of otherwise benign tumors that can cause a lot of stress.
my second reaction: maybe it does? did they hire up an army of physicists to make better diffusion models or something and they actually have people on staff who can do this?
> That, collectively, we can begin to change our relationship with our bodies and start to ask questions like: if we can catch things early, can we change our lifestyles to correct them?
We can already ask this question...
> And seeing our bodies change over time, alongside our actions, how much can we improve our health, our minds, and our lives?
Again, we can already ask this question
> We think it's completely possible that with enough early imaging in the future, the world could avoid 30% of all deaths and 50% of all healthcare costs. The cultural, physical, and mental health benefits of all of this are hard to comprehend, but also hard to overstate.
What? I have no idea what is meant here by "hard to overstate".
> You want as much data as you can get about your health as quickly and as cheaply as possible. In other words, you want a technology optimized for getting as many “megabytes per second per dollar” of information about your body.
Thanks for including the "megabytes per second per dollar" unit breakdown, I didn't understand the first sentence at all without that!
> And we live longer, healthier lives, better lives.
More AI slop
> When you step into the water, you’re standing on top of a platform. The platform is connected to rails and begins to descend into the water - an elevator gently lowering you at around 2 inches, or 5 centimeters, per second.
More AI slop. You'd only be done in 60 seconds if you're exactly 5 feet tall
Congrats!
The images and description of the launch seem like they are behind where my buddy was 10+ years ago - so I expect a pretty difficult road ahead, between getting to where it's actually medically viable, and then stomaching the FDA process.
...what. You descend into water and it scans your whole body? How do you breathe? How do you come out the other end?
Have they actually invented some type of novel scanning technology, or is this just AI slop gone wild?
I'm also following the very inspirational journey of the former Gitlab CEO who battles cancer by founding companies with his own money [0].
[0] https://sytse.com/cancer/
Given the source, I will treat it as nonsense science fiction until it’s built, functional and scientifically tested.
FUCT, huh? Genius marketing move.
What the hell are they talking about. This is no way real and a late April fools joke right? Right?
I also found this researcher on their staff who studies tomography https://scholar.google.com/citations?hl=en&user=idvD2yYAAAAJ
This is what came to my mind first too. It feels like the sort of thing you could come up with after a lot of ‘that’s a great insight!’, with the LLM eventually projecting absolute certainty that it’s a ground-breaking idea that’s definitely going to work.
I’m not sure whether I like that this is my knee-jerk reaction.
Do they have any sort of prototypes of this hardware that’s going to be working reliably in their custom-built spa in the notoriously difficult-to-get-permits-in San Francisco by the end of next year?…
I guess they pivoted from making ai-artwork to ultrasounds?
What do you mean here?
The idea came from LLMs? They built this with LLMs?
This tends to create a feedback loop where unsound ideas are amplified.
2,592,000 seconds / 20,000 scans = 129.6 seconds/scan
If you really hate your customers and don't care about cleaning out the tanks between scans, you could make this work. They have to be either able bodied to be able to move in and out quickly enough, or if they're not you just toss them unceremoniously onto the platform and drag them off after.
Realistically, a 60 second scan is going to take ~10 mins minimum, and will operate 8 hours a day, let's say charitably 7 days a week. Assume 50% utilisation due to staffing, repair, holidays, etc, we're looking at ~36m a month, or 0.036% of what is being pitched here. (8hrs * 6 scans * 30 days * 0.5 utilisation * 50k machines).
Maybe I'd even underpay a few people in developing countries with experience reading ultrasounds to check over the images so that if the humans detected anything suspicious I could give my sucker/client something more specific to tell their doctor about. That'd probably get me some good PR on social media as people post about how my fancy spa found their massive tumor or whatever.
Then I'd use their body scans as training data for my image generating AI. The waivers I'd have people sign to use the service would make sure that I wasn't at risk of any thorny legal issues from the use of all those images for training unlike the rampant copyright infringement method I'd been using previously and would also make sure I couldn't be held responsible for anything my scans found or didn't find.
Less cynically, maybe this thing will be nothing at all like that and one day it'll end up being used by real doctors in actual hospitals and save a bunch of lives or something. Who knows.