201–210 of 927 posts
Gives me the strange impression of a product that was vibe-brainstormed, vibe-engineered, and vibe-announced.
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!
It seems like the radiology equivalent to a blood testing machine that could be deployed to walgreens and detect 100 diseases with a finger prick.
> 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 condition…
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…
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.
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 ren…
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...)
Earlier quoted context omitted.
Bayes theorem mostly. False positives rates are extremely important. I mean so are false negatives. So just, like, accuracy.
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…
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.
Earlier quoted context omitted.
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…
> it's _git gud_ 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 getti…
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 other part wonders if this is the next clinkle.
MJ has shipped stuff before though so I’m optimistic.