ESC 365 - DELINEATE-Regurgitation: deep learning for automated assessment of aortic, mitral, and tricuspid regurgitation from echocardiography

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

Session: Clinical applications of artificial intelligence in cardiovascular imaging

Topic: Valvular Heart Disease

Speaker: Mr A. Long (New York, US)

Event: ESC Congress 2024

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About the speaker

Mr Aaron Long

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

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3 more presentations in this session

Clinical applications of artificial intelligence in cardiovascular imaging: state-of-the-art lecture

Speaker: Associate Professor J. Strom (Boston, US)

Artificial intelligence-based automated plaque quantification from CCTA to predict acute coronary syndrome on top of obstructive or ischemic coronary artery disease

Speaker: Doctor S. Baer (Turku, FI)

Machine learning model using cardiovascular magnetic resonance to predict cardiovascular events in asymptomatic patients with known CAD

Speaker: Mr J. Amar (Neuilly Sur Seine, FR)

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Clinical applications of artificial intelligence in cardiovascular imaging

Speakers: Mr A. Long, Associate Professor J. Strom, Doctor S. Baer, Mr J. Amar

About the event

ESC Congress 2024

30 August - 2 September 2024

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