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

30 August 2024 (08:00 - 17:30)
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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)
Slides Video
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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)
Abstract Slides Video
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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)
Abstract Slides Video

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 - 2 September 2024
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