Predicting cardiovascular events from routine mammograms using machine learning

In this episode of the Heart podcast, Digital Media Editor Professor James Rudd is joined by Dr Jennifer Barraclough from Sydney, Australia. They discuss her paper, which describes how a deep learning model can predict the risk of future cardiovascular events using mammogram images, along with age, and how this approach compares with existing methods, as well as the opportunities it might bring for improving the burden of cardiovascular disease among women. If you enjoy the show, please leave us a positive review wherever you get your podcasts. It helps us reach more people - thank you! Link to published paper:

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Predicting cardiovascular events from routine mammograms using machine learning is an episode from Heart podcast by BMJ Group.

This episode is 15:24 long.

This episode was published on Nov 4, 2025.

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