As lung cancer rates climb among non-smokers, new strategies are needed to screen and accurately predict risk across a wider population. Based on analyses of low-dose chest computed tomography (LDCT) scans from patients, researchers at the MIT Jameel Clinic, the epicentre of artificial intelligence (AI) in healthcare at the Massachusetts Institute of Technology (MIT), have developed a new AI tool, known as Sybil, which can accurately predict the risk of lung cancer for individuals with or without a significant smoking history.
