Predicting cardiovascular events from routine mammograms using machine learning
Failed to add items
Sorry, we are unable to add the item because your shopping cart is already at capacity.
Add to basket failed.
Please try again later
Add to Wish List failed.
Please try again later
Remove from Wish List failed.
Please try again later
Follow podcast failed
Unfollow podcast failed
Predicting cardiovascular events from routine mammograms using machine learning
-
Narrated by:
-
By:
About this listen
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: https://heart.bmj.com/content/early/2025/09/10/heartjnl-2025-325705
No reviews yet
In the spirit of reconciliation, Audible acknowledges the Traditional Custodians of country throughout Australia and their connections to land, sea and community. We pay our respect to their elders past and present and extend that respect to all Aboriginal and Torres Strait Islander peoples today.