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:

You can listen to Predicting 1-year futility of TAVI procedures using machine learning online on Radio and Podcast. Open the player on this page to stream the available audio.

Predicting 1-year futility of TAVI procedures using machine learning is an episode from Heart podcast by BMJ Group.

This episode is 19:25 long.

This episode was published on Oct 21, 2025.

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