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Deep learning to predict progression of aortic stenosis

1 September 2024 (11:00 - 11:20)
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Congress Presentation Part of: Digital tools to inform decisions in aortic stenosis Aortic Valve Stenosis ESC Professional Premium Access ESC Congress 2024 European Society of Cardiology

About the speaker

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Assistant Professor Evangelos K Oikonomou

Yale School of Medicine, New Haven (United States of America)

2 More presentations in this session

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TAVI vs. SAVR: a decision model
Professor S. Bleiziffer (Bad Berka, DE)
Slides Video
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Machine learning-based risk prediction of intrahospital clinical outcomes in patients undergoing TAVI
Professor B. Meder (Heidelberg, DE)
Slides Video

Access the full session

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Digital tools to inform decisions in aortic stenosis
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The Event

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ESC Congress 2024

1 September 2024 11:00 CET
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ESC 365 is supported by

novartis Explore sponsored resources
novo-nordisk Explore sponsored resources