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001) and prior deep learning models Hybrid DL ( P less then 0.001) and Image-Only DL ( P less then 0.001), trained on the same dataset. Mirai more accurately identified high-risk patients than prior methods across all datasets. On the MGH test set, 41.5% (34.4 to 48.5) of patients who would develop cancer within 5 years were identified as high risk, compared with 36.1% (29.1 to 42.9) by Hybrid DL ( P = 0.02) and 22.9% (15.9 to 29.6) by the Tyrer-Cuzick model ( P less then 0.001). To explore the phenotypic spectrum of -related disorders and
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