ESC 365 - Predicting aortic stenosis progression using a video-based deep learning model of aortic stenosis built for single-view two-dimensional echocardiography

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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

Session: Advances in diagnosis and risk stratification of valvular heart disease

Topic: Valvular Heart Disease

Speaker: Doctor E. Oikonomou (New Haven, US)

Event: ESC Congress 2023

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About the speaker

Doctor Evangelos K Oikonomou

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

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3 more presentations in this session

State-of-the-art lecture on advances in diagnosis and risk stratification of valvular heart disease

Speaker: Professor P. Pibarot (Quebec, CA)

Right ventricular pressure-strain-volume loop-derived myocardial work for the noninvasive assessment of volume overload-induced dysfunction in patients with secondary tricuspid regurgitation

Speaker: Doctor A. Fabian (Budapest, HU)

Structural and functional abnormalities of cardiac chambers in Barlow disease without significant mitral regurgitation

Speaker: Doctor M. Meucci (Rome, IT)

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Advances in diagnosis and risk stratification of valvular heart disease

Speakers: Doctor E. Oikonomou, Professor P. Pibarot, Doctor A. Fabian, Doctor M. Meucci

About the event

ESC Congress 2023

25 August - 28 August 2023

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