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DELINEATE-Regurgitation: deep learning for automated assessment of aortic, mitral, and tricuspid regurgitation from echocardiography

30 August 2024 (14:03 - 14:22)
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Congress Presentation Part of: Clinical applications of artificial intelligence in cardiovascular imaging Valvular Heart Disease ESC Professional Premium Access ESC Congress 2024 European Society of Cardiology

About the speaker

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Mr Aaron Long

Columbia University Irving Medical Centre, New York (United States of America)

3 More presentations in this session

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Clinical applications of artificial intelligence in cardiovascular imaging: state-of-the-art lecture
Associate Professor J. Strom (Boston, US)
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Artificial intelligence-based automated plaque quantification from CCTA to predict acute coronary syndrome on top of obstructive or ischemic coronary artery disease
Doctor S. Bar (Bern, CH)
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Machine learning model using cardiovascular magnetic resonance to predict cardiovascular events in asymptomatic patients with known CAD
Mr J. Amar (Neuilly Sur Seine, FR)
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Access the full session

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Clinical applications of artificial intelligence in cardiovascular imaging
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The Event

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ESC Congress 2024

30 August 2024 14:03 CET
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ESC 365 is supported by

novartis Explore sponsored resources

ESC 365 is supported by

novartis Explore sponsored resources