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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

30 August 2024 (14:22 - 14:41)
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Congress Presentation Part of: Clinical applications of artificial intelligence in cardiovascular imaging Plaque Imaging ESC Professional Premium Access ESC Congress 2024 European Society of Cardiology

About the speaker

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Doctor Sarah Bar

Bern University Hospital, Inselspital, Bern (Switzerland)

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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DELINEATE-Regurgitation: deep learning for automated assessment of aortic, mitral, and tricuspid regurgitation from echocardiography
Mr A. Long (New York, US)
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)
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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 14:22 CET
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ESC 365 is supported by

novartis Explore sponsored resources