Artificial intelligence–based quantification of breast arterial calcifications to predict cardiovascular morbidity and mortality

European Heart Journal 2026

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Authors: Theo Dapamede, Aisha Urooj, Vedant Joshi, Gabrielle Gershon, Frank Li, Mohammadreza Chavoshi, Beatrice Brown-Mulry, Rohan Isaac, Aawez Mansuri, Chad Robichaux, Chadi Ayoub, Reza Arsanjani
+6 more Laurence Sperling, Judy Wawira Gichoya, Marly van Assen, W Charles O’Neill, Imon Banerjee, Hari Trivedi
DOI: 10.1093/eurheartj/ehag128
Cited by: 1
References: 36

Abstract

Automatically quantified BAC is an independent predictor of MACE and mortality, adding prognostic value to the PREVENT score. This approach may provide an opportunistic cardiovascular risk assessment during routine mammography screening without additional radiation exposure to guide earlier and more effective preventive care for women.

Fields of Study & Subjects

Cardiac Imaging and Diagnostics Biomarkers in Disease Mechanisms Cardiovascular Disease and Adiposity

Publication details

Journal / source
European Heart Journal
Publisher
Oxford University Press (OUP)
Volume
47
Issue
18
Pages
2206-2220
Publication date
10 February 2026
Language
EN