On that note, Rebooting AI should be required reading for any doctor or medical student interested in work on applying deep learning and AI to medicine. There are many troubling issues with deep learning alone, especially for medical applications where reliability is paramount.https://twitter.com/GaryMarcus/status/1183077024207818753 …
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Wish we’d stop using “AI” to refer to human-level AI, which
@GaryMarcus talks about, & machine learning. Former is fascinating (enjoying the book!) but the latter in its CURRENT state could be hugely helpful in medicine (& many other areas). Analogous to advent of spreadsheets.
to be clear, this whole thread is largely about how and whether current (marrow) AI can help, and some challenges in applying even current techniques in practice. i am long term optimistic, short term pessimistic.
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Why short term pessimistic? Focusing on only medical or diagnostic bits of healthcare? Much of hc is like any other biz, with supply chain, scheduling, comms— and many of these processes are a mess (scheduling, esp). Those processes are ripe for improvement with workaday AI.
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see this whole thread plus my recent book http://rebooting.ai ; current AI is (literally) illiterate and just isn’t reliable enough for high-stakes problems.
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