問題詳情

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 inpictures. A variety of companies hope that 32 AI 32 the clinic will make diagnosis faster and cheaper. The machines may even beable to see nuances that humans cannot, assessing 33 risky a patient’s cancer is simply by looking at a scan. Some AI researchers think thathuman 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, suchpronouncements are bound to alarm white-collar workers, from engineers to lawyers. The application of AI to professions suggests a new story tobe told in the foreseeable future.
31.
(A) attention
(B) intonation
(C) separation
(D) medication

參考答案

答案：A
難度：適中0.5
統計：A(0),B(0),C(0),D(0),E(0)

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