Boston’s Sybil AI Claims It Can Spot Lung Cancer Years Before It Shows
Researchers at Mass General Brigham and MIT have developed an AI tool called Sybil that can predict lung cancer risk up to six years in advance using a single low-dose chest CT scan. The tool is not yet cleared for routine clinical use but is being tested in research studies.
Researchers at Mass General Brigham and MIT have developed Sybil, an AI tool that assesses lung cancer risk from a single low-dose chest CT scan. Sybil uses a 3-D deep-learning architecture to identify imaging patterns linked to later cancer. The tool was validated in a multi-site study published in the Journal of Clinical Oncology, showing it could distinguish higher-risk patients. Sybil is not yet cleared for routine use and is currently limited to research settings. The developers have made the algorithm and tools available to other researchers to test in real-world conditions. U.S. lung-cancer screening guidelines are currently limited, and Sybil could potentially help broaden and better target screening.
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