External testing showed Sybil's ability to predict lung cancer risk in heavy smokers, highlighting its limitations in light smokers.
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).
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Lee et al. (2025) studied this question.
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