ESC 365 - Real-world performance of an automated echocardiography-based machine learning model for multiparametric mitral regurgitation severity assessment

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Real-world performance of an automated echocardiography-based machine learning model for multiparametric mitral regurgitation severity assessment

Session: Advances in Science in imaging in valvular heart disease

Topic: Valvular Heart Disease

Speaker: Professor F. Asch (Washington, DC, US)

Event: EACVI 2025

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About the speaker

Professor Federico Asch

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

9 presentations

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4 more presentations in this session

Physiologist-led triaging of trans-thoracic echocardiogram requests for infective endocarditis

Speaker: Mr D. Cusack (Edinburgh, GB)

Definition and prognosis of mitral regurgitation in transthyretin amyloid cardiomyopathy: an international multicentre cohort study

Speaker: Doctor L. Hauptmann (Vienna, AT)

Epidemiology, management and in-hospital outcomes of patients with mixed and multiple valvular heart disease: the international EACVI-MMVD Study

Speaker: Doctor T. Pezel (Paris, FR)

New perspectives in valvular heart disease

Speaker: Professor P. Pellikka (Rochester, US)

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Advances in Science in imaging in valvular heart disease

Speakers: Professor F. Asch, Mr D. Cusack, Doctor L. Hauptmann, Doctor T. Pezel, Professor P. Pellikka

About the event

EACVI 2025

11 December - 13 December 2025

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ESC 365 is supported by

bristol-myers-squibb

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novartis

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