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An automated deep learning-based quantitative multiparametric approach for mitral regurgitation severity grading by Doppler echocardiography

10 May 2023 (08:00 - 20:00)
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Congress Presentation Part of: Late breaking clinical research and trials Valvular Heart Disease EACVI Premium Access EACVI 2023

About the speaker

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Professor Federico Asch

MedStar Health Research Institute, Washington, DC (United States of America)

5 More presentations in this session

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Machine-Learning Score using Stress CMR and CCTA for Prediction of Cardiovascular Events in Patients with obstructive CAD
Doctor T. Pezel (Paris, FR)
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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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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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Access the full session

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Late breaking clinical research and trials
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The Event

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EACVI 2023

10 May - 12 May 2023
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