this post was submitted on 03 Apr 2026
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For what it’s worth, “AI” in this context is probably not the content-stealing Generative AI that everyone is trying to cram everywhere it doesn’t belong. This is a much more legitimate application of a similar technology.
I’m not mad about the idea of AI in radiology because it’s a really good fit. A human radiologist can’t compare a hundred similar slices and cross-correlate possible anomalies, whereas AI can. This improves detection and outcomes and is exactly where medical technology is supposed to help.
That said, I don’t think we’ll replace radiologists across the board for a long time. This will be a very useful tool and will probably reduce the number of radiologists required and modify their roles significantly, but it’ll be more like how a single worker with editing software can do work that would have required a small team in the pre-digital days of film.
The replacing part is the problem. Using a local system to help is fine, but it still requires humans who know what they're doing and what they're looking at.
Sometimes, for example human + AI systems used to be better than either one in isolation, but chess AI improved so much that the human partner is actually not helping anymore
But chess is an isolated "system" with clear rules. Reality and especially medicine is so much more complicated.
Chess strategy is extremely complicated and probably will never be completely solved. It will be almost solved like checkers eventually when programs will just draw vs. each other or a white win is found
But we will never actually simulate all games since the number of chess games dwarfs the number of atoms in the universe. So in that sense we will never know what the "correct" move is outside of table base or mate situations. Medicine may actually be less complicated to a machine.
Bu the only benchmark should be "how good the humans are at a task" since you're not trying to be perfect. You only have to provide better results than the current system.