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!
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Link to published paper:
https://heart.bmj.com/content/early/2025/09/10/heartjnl-2025-325705
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15:24
Predicting 1-year futility of TAVI procedures using machine learning
In this episode of the Heart podcast, Digital Media Editor, Professor James Rudd, is joined by Dr Mehdi Eskandari from King's College Hospital, London. They discuss his paper that attempts to use machine learning to identify patients in whom a TAVI procedure is likely to be unsuccessful, using simple, readily available variables. If you enjoy the show, please leave us a positive review wherever you get your podcasts. It helps us to reach more people - thanks!
Link to published paper:
https://heart.bmj.com/content/early/2025/07/25/heartjnl-2025-325928
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Top 10 statistical errors in submitted papers...and how to avoid them
In this episode of the Heart podcast, Digital Media Editor Professor James Rudd is joined by Dan Green from the University of Aston. They discuss his paper in Heart, outlining 10 common errors in submitted manuscripts and how authors can avoid them. If you enjoy the show, please leave us a positive review wherever you get your podcasts. It helps us to reach more people - thanks!
Link to published paper: https://heart.bmj.com/content/early/2025/06/23/heartjnl-2025-325939
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25:59
Wearable device technology and the future of patient assessment
In this episode of the Heart podcast, Digital Media Editor Professor James Rudd is joined by Dr Paul Morris and Dr Gareth Williams from the University of Sheffield. They discuss what wearable devices are, the technology that powers them, and how they will impact the future of patient care in cardiology. 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://www.thelancet.com/journals/landig/article/PIIS2589-7500(23)00087-0/fulltext
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Change in body weight, cardiovascular disease and mortality
In this episode of the Heart podcast, Digital Media Editor, Professor James Rudd, is joined by Dr Carl Lavie from New Orleans, USA. They discuss his editorial on a paper by Zhang and colleagues, which examined associations between changes in body weight, future cardiovascular events and all-cause mortality. They also discuss the state of play with anti-obesity medications and the importance of cardiorespiratory fitness to good heart health. 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 papers:
https://heart.bmj.com/content/111/10/454
https://heart.bmj.com/content/111/10/437
The Heart Podcast is your go-to source for the latest insights and developments in cardiovascular medicine. Each episode features in-depth interviews with renowned authors and leading experts in the field, delving into the latest advances in cardiovascular research and treatments.
Heart - heart.bmj.com - is a renowned international journal from the BMJ Group and the British Cardiovascular Society (BCS) dedicated to publishing research and reviews on cardiovascular disease. Stay ahead in your field by tuning into our expert discussions and accessing cutting-edge information.
Subscribe now or listen on your favourite podcast platform to elevate your understanding of cardiovascular medicine. The Heart podcast is published every other Tuesday.
Podcast hosted by:
James Rudd, Digital Media Editor, University of Cambridge