Chief scientist of major corporation can’t handle criticism of the work he hypes

Re:Chief scientist of major corporation can’t handle critici... by dekhn on Wednesday November 23, 2022 @01:20PM (#33722697)

What you described is outside the scope of the problem being solved in radiological classification. That problem- like protein structure predction- is an intentionally simplified process used to make it possible to fairly compare humans vs ML.

What you're describing is the general problem of informed diagnosis, which is also classification, but typically takes into account a great deal of qualitative information. Few if any ML people are working in this area because there is no golden data and it's nearly impossible to evaluate in a quantitative way.

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Re:Chief scientist of major corporation can’t handle critici... by mattkrause on Wednesday November 23, 2022 @01:37PM (#33722941)

Agreed--but that's the point: the demand is not actually for radiological classification, it's for accurate, actionable diagnoses. Heck, radiologists call what they do "interpretation."

I can certainly imagine that radiologists would love (say) a tool that automatically flags low-quality or mis-oriented images, but that's not at all where the hype is at.

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Re:Chief scientist of major corporation can’t handle critici... by dekhn on Wednesday November 23, 2022 @02:36PM (#33723560)

Those things already exist. It was very enlightening- my uncle was a radiologist and I spent a few hours watching him do his job. The software they use is extremely sophisticated with lots of custom bells and whistles (and the monitors have insane contrast ratios). Most people don't see it but non-ML medical imaging is extremely mature and is developed in close contact with the users.

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