DOTmed March 25, 2025
A deep learning model developed by researchers at Emory Healthcare and Mayo Clinic may help assess cardiovascular risk in women by analyzing calcification seen in routine mammograms, according to findings being presented at the American College of Cardiology’s Annual Scientific Session.
The study focused on breast arterial calcification; calcium deposits visible on mammograms that are not typically quantified or reported in standard screenings. Researchers used AI to automatically segment and measure the extent of calcification, then linked these findings with cardiovascular outcomes recorded in electronic health records from more than 56,000 patients.
“Our study showed that breast arterial calcification is a good predictor for cardiovascular disease, especially in patients younger than age 60,” said Dr. Theo Dapamede, a postdoctoral fellow...
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