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A collaboration between software engineers and clinical researchers has produced an artificial intelligence program that uses images to predict with 94 percent accuracy which people will develop lung cancer. The group’s study, published yesterday (May 20) in Nature Medicine, found that the algorithm was as accurate as radiologists in screening for cancer based on more than one computed tomography (CT) scan from the same person, and outperformed the doctors when it had access to just one scan from an individual.
“These people have a technology that will improve the precision of screening tremendously,” Otis Brawley, an oncologist and epidemiologist at Johns Hopkins University who was not involved in the study, tells STAT.
STAT notes that a previous study from the National Institutes of Health (NIH) on lung cancer screening for smokers found that CT scans to detect early signs of the disease reduced deaths by about ...
