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Machine-Learning Score using Stress CMR and CCTA for Prediction of Cardiovascular Events in Patients with obstructive CAD

11 May 2023 (08:30 - 08:45)
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Congress Presentation Part of: Late breaking clinical research and trials Imaging of Myocardial Disease EACVI Premium Access EACVI 2023

About the speaker

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Doctor Theo Pezel

Lariboisiere APHP Site of Saint Louis University Hospital, Paris (France)

5 More presentations in this session

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Longitudinal cardiac imaging to assess the presence and magnitude of myocardial injury in non-hospitalized community-dwelling individuals post COVID-19 infection.
Doctor F. van den Heuvel (Nijmegen, NL)
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Randomized study for the optimal treatment of symptomatic low gradient severe aortic stenosis and preserved left ventricular ejection fraction (ROTAS trial)
Professor E. Galli (Strasbourg, FR)
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An automated deep learning-based quantitative multiparametric approach for mitral regurgitation severity grading by Doppler echocardiography
Professor F. Asch (Washington, DC, US)
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Derivation, Validation and Prognostic Assessment of an AI-Based Algorithm for Determination of Coronary Ischemia: The CREDENCE and PACIFIC Trial
Doctor A. van Rosendael (Leiden, NL)
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Myocardial fibrosis activity in ischaemic and non-ischaemic cardiomyopathy
Doctor S. Joshi (Edinburgh, GB)
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Late breaking clinical research and trials
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The Event

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EACVI 2023

11 May 2023 08:30 CET
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ESC 365 is supported by

novartis Explore sponsored resources