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.
【題組】34. (A) operate (B) separate (C) diagnose (D) naturalize
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