Aiming AI at a moving target: health (or disease)

Justified by spectacular achievements facilitated through applied deep learning methodology (based on neural networks), the “Everything is possible” view dominates this new hour in the “boom and bust” curve of AI performance. The optimistic view collides head on with the “It is not possible”—ascertainments often originating in a skewed understanding of both AI and medicine. The meaning of the conflicting views can be assessed only by addressing the nature of medicine. Specifically: Which part of medicine, if any, can and should be entrusted to AI—now or at some moment in the future? AI or not, medicine should incorporate the anticipation perspective in providing care.

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