A.I.’s X-Ray Vision

Radiology center
Geoffrey Hinton’s amended prediction is proving more accurate than the first: A.I. is helping radiologists meet an ever-increasing demand for imaging. Photo: BSIP/Universal Images Group/Getty Images
Ian Krietzberg
April 23, 2026

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A decade ago, Geoffrey Hinton, one of the best-known scientists in artificial intelligence, issued a death sentence for an entire profession. “People,” Hinton said, “should stop training radiologists now.” He gave it five years until deep-learning A.I. systems would be outperforming human radiologists to the point of the latter’s sudden and dramatic obsolescence. Of course, his obituary proved premature. The radiology industry, which had roughly 230,000 jobs in 2014 and 270,000 jobs in 2024, is expected to grow 5 percent through 2034, per the Bureau of Labor Statistics. And the demand for imaging services in the U.S. is only expected to grow as the population ages.