A few months ago @AndrewYNg tweeted that radiologists were on the verge of being obsolete because AI: https://twitter.com/AndrewYNg/status/930938692310482944 …. Andrew has >300K twitter followers so his tweet made the rounds (>2,000 likes) /1
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Lior Pachter Retweeted Harold Pimentel
Some postdoc called him out on what was obviously an outrageous statement: https://twitter.com/hjpimentel/status/931366277339234305 …. This picked up a paltry 9 likes. /2
Lior Pachter added,
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Now today more data comes out: https://stanfordmlgroup.github.io/competitions/mura/ … Guess what… the “deep learning” method sucks. It’s much worse than the radiologists. No way
@AndrewYNg is trusting his own diagnoses to this algorithm. /3pic.twitter.com/nJM5OURB8Q
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I'm definitely a skeptic, but I interpret these results differently. The main conclusion I draw is that unless you have a different radiologist for every part of your body, in the long term you're probably better off w the algorithm.
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not in the short term, possibly in the long term, once machines can actually read electronic health records; radiology ≠ imaging alone
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