AI models predict and detect lung cancer with accuracy.
Researchers from MIT, Harvard Medical School, and Massachusetts General Hospital have developed an AI model called Sybil that can predict an individual's future lung cancer risk with up to 94% accuracy using only a single low-dose CT scan. The model was trained using scans from the National Lung Screening Trial and can run in real-time on a radiology reading station. Lung cancer screening programs are underdeveloped in regions of the US hardest hit by lung cancer, and Sybil was able to find where the cancer was when humans couldn't see it.