Discussion summary
A discussion about Midjourney's AI-generated images highlights their sci-fi and surreal qualities, with some skepticism about their authenticity. Participants mention applications in medicine and entertainment, while others criticize potential scams and ethical concerns.
What the discussion says
- AI images resemble sci-fi movies like Blade Runner.
- Some see potential in medical imaging and entertainment.
- Skeptics warn about scams and overreliance on imaging.
- Concerns about ethical implications and authenticity.
“Looks like straight from a sci-fi movie.”
“My AI image company is running an alternative medicine AI MRI spa.”
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- Hacker News
- 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.
by haldujai - > Beyond that, regulation is the next limit. Normally, for every diagnostic medical capability you need FDA approval. 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.
This is just not how the FDA works. At all. You can't just email them slideware and marketing materials to keep them in the loop.
You have to hire an army of expensive compliance people (cheap ones aren't nimble enough for startups), develop the whole thing start to finish under strict design controls, and usually throw a lot of time and capital into convincing regulators your very innovative and disruptive new R&D endeavor is actually derivative enough to draft behind some existing medical device.
by randusername - 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.
by unholiness - I find the technology side intriguing and worth a deeper dive.
But I'm not convinced about their view of having people casually going to a spa every week and getting a full body scan. AFAIK, some doctors tend to avoid full-body scans. The reason is that each body is different and has its own quirks. If you do a scan for no reason other than "I can do it fast", chances are that the scan will show something unusual. But, at the same time, it is likely that it isn't a problem. And now, you will be stressed about the chance of having some health condition and spend time and money digging into a rabbit hole of what the issue could be, only to find out it was nothing.
They also don't say anything about the price of such a machine. If they really envision a future where everyone can easily get a scan, this is a crucial factor.
by GTP - 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)!
by mNovak - I have a mixed response:
1. It kind of makes sense that an AI imagery company would apply that to other novel applications of imagery and computing and try to do something cool with it.
2. Midjourney as a brand is all over the place and this feels -off, somehow. I think from a branding pov they should have just started a different company with a different name. Perhaps a single image-focused umbrella company named [Name] with Midjourney and this medtech company as separate subsidiaries.
3. AI imagery companies suddenly making medtech products and spas feels very “we don’t know what to do, so we’re going to throw spaghetti at the wall.” That doesn’t necessarily mean it’ll be bad, just that it’s not typically what you’d do if you’re working on something super successful already.
4. AFAIK they are entirely self-funded and so this really isn’t about VC scaling or anything like that. But that doesn’t mean they’re immune to the same cultural pressures.
by keiferski - > 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.
This is so far from my vision of what I want from healthcare. I want a healthcare system that is optimised around A) proactively keeping me healthy, and B) reactively helping get back to healthy when I am not. I do not care about the amount of megabytes of data I have about my body.
by tmhrtly - Some initial thoughts as a practicing radiologist:
- This looks really cool and I hope they keep innovating on this. I love seeing new modalities develop and despite my (many) reservations and criticisms, if even one good use case comes out of it that truly helps people, it's tech money well spent imo.
- They show the reconstructed images as though they are a low resolution CT, and promise that quality will improve as they iterate. This is cool, but ultrasound is not CT. Ultrasound cannot image the lungs, as they are filled with air. You cannot find bone lesions, as the sound waves do not penetrate the cortex. You cannot image many structures in the abdomen if they are surrounded by gas-filled bowel. The brain is encased in bone, so you might get some penetration but it will be very limited. Even with theoretically perfect AI reconstruction, these scans will not be true "full body" in that there will be structures that are not reliably imaged. Imagine paying for weekly full body scans for years, everything looks fine, then its the lung cancer surrounded by air and invisible to ultrasound that kills you (that's why we use CT for lung screening!)
- The images they show are very cool, and do appear to show the correct structures. I realize this is early, but fuzzy shapes of organs is very, very far from medically useful. The whole point of screening is to identify problems early, often by definition, small. This technology looks like it will be best for seeing large, superficial (close to the skin) structures, whereas for effective screening, you want the opposite - small, deep structures.
- "Incidentalomas" or unexpected, probably benign, findings are annoying to physicians, but I in general have no problem with people collecting data on themselves where they can. To me it's similar to heart rate monitors or home blood pressure cuffs. The main issue here is education, so that patients know what the data is and is not telling them. The more complex the data, the more difficult that is.
- Many people mistakenly believe that early diagnosis is the final boss in medicine, that if only we could find every cancer early we could prevent all those deaths. There are, in fact, many, many other hurdles and bottlenecks. Many chronic, expensive diseases do not have clear imaging manifestations. The claim that "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", I think, to any practicing physician, would sound completely divorced from reality.
by jmhmd