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arXiv Machine Learning By Paula Feldman, Nusrat Binta Nizam, Sunwoo Kwak, Batuhan Karaman, Katerina Dodelzon, Mert Sabuncu

Mammography Foundation Models for Opportunistic Prediction of Major Adverse Cardiovascular Events

Read the original on arXiv Machine Learning →

The study evaluates whether mammography foundation models, pretrained for breast cancer tasks, can predict 5‑year major adverse cardiovascular events (MACE) in women using only screening mammograms. In a cohort of 22,497 women (500 MACE events), the models achieved AUROCs of 0.823 and 0.822, outperforming an age‑only baseline. The models also identified higher risk in patients with radiologist‑documented breast arterial calcifications, despite never being trained on that label.

Machine-generated by The Flow from the publisher's headline and feed description — not written or checked by a human. The full article lives at arXiv Machine Learning.

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