I actually have a very pessimistic outlook. I think outside of few specific applications in Radiology and maybe pathology, AI/ML is unlikely to succeed in Medicine. Even Deep Mind which started its health division by building a Non-AI app. The major issue in medicine is figuring out the right kind of problem/intervention/interface.
Worse a lot of research in this field (outside of radiology) is pure hype. It typically involves researchers teaming up with their friends in university associated hospital to publish studies on private datasets which can never be reproduced. Why worry whether the problem definition is correct or clinically meaningful when you can claim anything and the community lets you get away with calling your work Deepest Patient or AI Doctor. This is why Physicians & medical researcher mock machine learning in healthcare research.
It is going to take another half a decade or even a decade untill unform EMR/EHR datasets become available. And some Imagenet style competition weeds out the current crop of GRU-LSTM-RNN-Stacked-Autoencode-GAE papers whose goal is to stuff resumes with "hot" keywords rather than actually improve the state of the art in an emiprical manner.