Analysis compares AI and clinical risk models for breast cancer prediction, indicating AI shows better accuracy but needs calibration adjustments.
MIRAI demonstrated stronger discriminatory accuracy than clinical models for five-year overall and invasive bc risk prediction but overestimated risk for both bc endpoints. AI-based risk models should consider discriminatory accuracy and calibration for invasive cancer before implementation.
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Kaul et al. (2026) studied this question.
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