External Testing of a Deep Learning Model for Lung Cancer Risk from Low-Dose Chest CT

Sybil, an open-source deep learning model, predicted future lung cancer risk in Asian individuals with heavy smoking histories of at least 20 pack-years using low-dose CT scans, supporting its role in risk-based screening strategies, but demonstrated poor performance in a never- or light-smoking subgroup (median, 2 pack-years).