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An artificial intelligence algorithm for detection of severe aortic stenosis: a clinical cohort study

27 August 2023 (10:15 - 11:00)
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Congress Presentation Part of: Is artificial intelligence gaining ground in valvular heart disease? Aortic Valve Stenosis ESC Professional Premium Access ESC Congress 2023 European Society of Cardiology

About the speaker

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Associate Professor Jordan Strom

Beth Israel Deaconess Medical Center, Boston (United States of America)

5 More presentations in this session

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Assessment of aortic valve function in over 47,000 people using deep learning
Doctor S. Kany (Hamburg, DE)
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Artificial intelligence-enabled electrocardiogram in the detection of patients at risk of atrial functional mitral regurgitation
Doctor J. Naser (Rochester, US)
Abstract Slides Video
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Decoding calcific mitral valve disease: a novel deep learning model uncovers the role of calcium burden
Doctor S. Arif (Montreal, CA)
Abstract Slides Video
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Patient-specific computer modelling to predict anatomical risk factors preventing post transcatheter aortic valve implantation coronary re-access in bicuspid aortic valve; a modelling study.
Doctor J. Dargan (London, GB)
Abstract Slides Video
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Impact of hypertension on mean transvalvular gradients in aortic stenosis Lessons learned from in silico modelling
Doctor J. Jacques (Cape Town, ZA)
Abstract Slides Video

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Is artificial intelligence gaining ground in valvular heart disease?

The Event

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ESC Congress 2023

27 August 2023 10:15 CET
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ESC 365 is supported by

novartis Explore sponsored resources