271–280 of 927 posts
Earlier quoted context omitted.
> Reducing radiation from CT scans is a noble cause on its own Is it? Linear No Threshold has largely been rejected at this point. https://jnm.snmjournals.org/content/early/2024/06/21/jnumed....
We have no evidence in favor of the linear no threshold model. That is not the same as saying that we have evidence against it.
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…
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…
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.
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But isn’t this much cheaper and easier so even if they are not quite a good, the accessibility and ease and thus much more data is better?
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 wors…
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.
How are people possibly taking this seriously? > 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 a…
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…
Don’t make me tap the sign. 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…
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.
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…
Don’t make me tap the sign. 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…
Earlier quoted context omitted.
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.
What? This comment chain is specifically about the target of a billion full-body scans a month using 50,000 units. That's about 1 scan per unit, every 2 minutes, 24/7.
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.