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Predicting aortic stenosis progression using a video-based deep learning model of aortic stenosis built for single-view two-dimensional echocardiography

25 August 2023 (07:30 - 18:30)
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Congress Presentation Part of: Advances in diagnosis and risk stratification of valvular heart disease Valvular Heart Disease ESC Professional Premium Access ESC Congress 2023 European Society of Cardiology

About the speaker

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Doctor Evangelos K Oikonomou

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

3 More presentations in this session

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State-of-the-art lecture on advances in diagnosis and risk stratification of valvular heart disease
Professor P. Pibarot (Quebec, CA)
Slides Video
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Right ventricular pressure-strain-volume loop-derived myocardial work for the noninvasive assessment of volume overload-induced dysfunction in patients with secondary tricuspid regurgitation
Doctor A. Fabian (Budapest, HU)
Abstract Slides Video
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Structural and functional abnormalities of cardiac chambers in Barlow disease without significant mitral regurgitation
Doctor M. Meucci (Rome, IT)
Abstract Slides Video

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Advances in diagnosis and risk stratification of valvular heart disease
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The Event

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ESC Congress 2023

25 August - 28 August 2023
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ESC 365 is supported by

novartis Explore sponsored resources