In 2016, the AI pioneer Geoffrey Hinton declared that “people should stop training radiologists now” because “it’s just completely obvious that within five years, deep learning is going to do better than radiologists.” He was half right. Today, the FDA has approved more than 1,000 AI radiology tools, some capable of analyzing medical images to detect injuries or diseases with greater accuracy than human specialists. Yet radiologists—human ones—are in more demand than ever.