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An artificial intelligence-based landmark model for early detection of aortic stenosis in Cardiac MRI

30 August 2024 (11:00 - 11:50)
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Congress Presentation Part of: Imaging valvular heart disease and beyond Valvular Heart Disease ESC Professional Premium Access ESC Congress 2024 European Society of Cardiology

About the speaker

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Doctor Kavitha Vimalesvaran

Frimley Health NHS Foundation Trust, frimley (United Kingdom of Great Britain & Northern Ireland)

6 More presentations in this session

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Histopathological myocardial changes in patients with severe aortic stenosis referred for surgical valve replacement: a CMR correlation study.
Doctor R. Reis Santos (Lisbon, PT)
Abstract Slides Video
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Association between CMR derived hepatic T1 times, tricuspid regurgitation severity, and outcomes.
Doctor K. Mascherbauer (Vienna, AT)
Abstract Slides Video
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Systemic manifestations of connective tissue abnormalities in patients with Mitral Valve Prolapse assessed by Cardiac Magnetic Resonance
Doctor M. Bernardi (Rome, IT)
Abstract Slides Video
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Prognostic value of cardiac magnetic resonance global circumferential strain assessed by feature tracking techniques in asymptomatic patients with significant aortic regurgitation.
Doctor I. Carrion-Sanchez (Madrid, ES)
Abstract Slides Video
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Novel CMR-assessed right ventricular-pulmonary artery coupling index independently associates with exercise capacity and clinical risk in pulmonary arterial hypertension
Professor L. Zhong (Singapore, SG)
Abstract Slides Video

Access the full session

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Imaging valvular heart disease and beyond

The Event

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ESC Congress 2024

30 August 2024 11:00 CET
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ESC 365 is supported by

novartis Explore sponsored resources

ESC 365 is supported by

novartis Explore sponsored resources