AI may predict cardiovascular risk in women

A novel artificial intelligence-based strategy could help detect cardiovascular risk among women.

In a study published in the European Heart Journal, researchers used AI-based automatic quantification of breast arterial calcification on screening mammography in a group of more than 123,000 women. They then categorized the breast arterial calcification into four groups: zero, mild, moderate and severe.

The researchers found that between 16% (internal cohort) and just over 20.5% (external cohort) of the participants had breast arterial calcification. Compared with the group without breast arterial calcification, those who presented with breast arterial calcification had an increased risk of major adverse cardiovascular events. Further, the increasing severity of breast arterial calcification correlated with a heightened risk of major adverse cardiovascular events.

The researchers indicated that AI-based automatic quantification of breast arterial calcification may be an effective approach to predicting cardiovascular risk and mortality in this patient population. They concluded that using the method in cardiovascular assessment could allow for earlier preventive care among at-risk women.

Read more: European Heart Journal

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