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.
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.
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.