> But that doesn't make AI the use-all-do-all, because if everybody starts to test for every little thing, diagnostic probabilities will decrease massively and

> But that doesn't make AI the use-all-do-all, because if everybody starts to test for every little thing, diagnostic probabilities will decrease massively and guidelines would have to adjusted in conséquence. It's a feedback loop. And also, you'd pay 5x the price for healthcare, so not realistic. It's hard for me to write out all my thoughts on the subject, but I completely agree with this. The paper cherry-picked difficult cases and compared how AI deals with them vs regular clinicians. I think that is something AI will excel at because there is no cost to being "wrong", as long as something it spews out is correct. In difficult to diagnose cases, that kind of makes sense. Find the answer at "any cost". But you cannot apply that to every case. If you let the AI loose on fairly simple cases, I bet it would over complicate many simple things, because it couldn't handle the nuance of people coming in and just whining about a regular cold. "Patient comes in with a headache, might be brain cancer but might be a cold" ~ type DDx.