Radiologists, say the pessimists, will be first against the wall when the machines take over. Analyzing medical images is a natural fit for “deep learning”, an artificial-intelligence (AI) technique which first attracted ＿＿（31）＿＿ for its ability to teach computers to recognize objects in pictures. A variety of companies hope that 32 AI 32 the clinic will make diagnosis faster and cheaper. The machines may even be able to see nuances that humans cannot, assessing ＿＿（33）＿＿ risky a patient’s cancer is simply by looking at a scan. Some AI researchers think that human beings can be dispensed with entirely. “It’s quite obvious that we should stop training radiologists,” said Geoffrey Hinton, an AI luminary, in 2016. In November Andrew Ng, another superstar researcher, when discussing AI’s ability to ＿＿（34）＿＿ pneumonia from chest x-rays, wondered “whether radiologists should be worried about their jobs”.＿＿（35）＿＿ how widely applicable machine learning seems to be, such pronouncements are bound to alarm white-collar workers, from engineers to lawyers. The application of AI to professions suggests a new story to be told in the foreseeable future.