AI-based quantification of breast arterial calcification (BAC) can predict major adverse cardiovascular events and mortality in women.
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The study analyzed mammograms from 123,762 women, revealing a dose-response relationship between BAC severity and cardiovascular outcomes.
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Increasing BAC severity correlates with higher rates of major adverse cardiovascular events, with severe BAC showing the highest risk.
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Adding BAC measurements to the PREVENT score improves cardiovascular risk assessment, enhancing predictive accuracy.
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The AI model demonstrated high sensitivity and specificity for BAC detection, suggesting its potential for opportunistic cardiovascular risk assessment.
