The word “diagnosis,” he reminded me, comes from the Greek for “knowing apart.” Machine-learning algorithms will only become better at such knowing apart—at partitioning, at distinguishing moles from melanomas. But knowing, in all its dimensions, transcends those task-focussed algorithms. In the realm of medicine, perhaps the ultimate rewards come from knowing together.
The key point is that to think strategically, one must step back from the fray – to think apart. At the same time, it helps tremendously, if while you are in that position, you get great input.
Whether that is from a machine, or another human or a book or whatever, be on the lookout for sources. You never know when you will need them.