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Mammography AI Spots Vascular Signals

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A study involving 123,762 women from two health systems revealed that automated quantification of breast arterial calcification (BAC) on mammograms can predict major adverse cardiovascular events (MACE) and mortality. Researchers found that as BAC severity increased, so did the risk of events like myocardial infarction and stroke. Utilizing a transformer-based neural network, the study analyzed mammograms and quantified BAC, ensuring improved cardiovascular risk assessment without additional radiation exposure. The findings were published in the European Heart Journal.

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