2016: @GeoffreyHinton says we should stop training radiologists, because radiologists will soon be replaced by deep learning
2019: There is a shortage of radiologists. # replaced ≈ 0
What did Hinton miss?
by @garymarcus & @MaxALittlehttps://www.statnews.com/2019/10/23/advancing-ai-health-care-trust/ …
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Replying to @GaryMarcus @DrHughHarvey and
Radiology is a not a static image recognition problem. For most non-binary images, it's a metadata problem where clinical state of the patient need to be considered as input. The data standard to summarize patient's physiological state does not exist. Radiologists will remain.
2 replies 4 retweets 20 likes -
Replying to @junghoon_sonMD @DrHughHarvey and
yes! we make that point (in different terms)
0 replies 0 retweets 3 likes
Replying to @patrick_s_smart @junghoon_sonMD and
again see empirical data from @kchonyc where human and model outperforms model alone = still need radiologist. guessing you have not read his piece or ours.
8:42 AM - 23 Oct 2019
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