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Abstract Accurate assessment of breast cancer risk is essential for risk-stratified screening strategies. We developed BREST-AI, a deep-learning model that predicts three-year breast cancer risk from negative screening mammograms. Model development used a curriculum-learning strategy and data from 65,419 women; the model was trained on 58,591 women (9020 cancer, 1633 benign, and 47,938 three-year cancer-free).
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