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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 (08:00 - 17:30)
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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)
Slides Video
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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)
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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ESC 365 is supported by

novartis Explore sponsored resources