Artificial intelligence tool may help predict lung cancer risk regardless of smoking history
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An artificial intelligence tool predicted a person’s lung cancer risk after analyzing a single low-dose CT scan, according to study results.
The tool, known as Sybil, accurately predicted risk for individuals with or without smoking history.
Researchers validated Sybil using three independent data sets, and the findings suggest the tool could help personalize lung cancer screening for those at greatest risk.
Healio spoke with researchers Lecia Sequist, MD, MPH, director of Center for Innovation in Early Cancer Detection and lung cancer medical oncologist at Mass General Cancer Center, and Florian Fintelmann, MD, of the department of radiology in the division of thoracic imaging and intervention at Massachusetts General Hospital, about the findings and their potential implications.