And we'd be wrong about that. Different domains are showing wildly different characteristics, with some ML models showing superhuman or expert level performance in some domains (chess, face and handwriting recognition for example) and promising but as yet just not good enough in other domains (radiography, self-driving cars, question answering, prose writing). Currently coding is somewhere in the middle; superhuman in some ways, disappointingly unusable in others.

I don't we can make any conclusive verdict about the promise of ML for radiography right now; the life-critical nature of the application it's in the unusable middle, but it might get better in a few years or it might not. Time will tell.