Back

A deep learning model for continuous grading of aortic stenosis from b-mode transthoracic echocardiography

11 December 2025 (08:00 - 15:30)
Organised by: Logo
Congress Presentation Part of: What's new in valvular heart disease Valvular Heart Disease EACVI Premium Access EACVI 2025 European Association of Cardiovascular Imaging (EACVI)

About the speaker

Photo
Mrs Yngvil Thomas

San Francisco (United States of America)

5 More presentations in this session

Presentation thumbnail
Non-invasive right ventricular myocardial work in patients with significant tricuspid regurgitation: association with etiology and outcome
Doctor Y. Obayashi (Leiden, NL)
Abstract Slides Video
Presentation thumbnail
3D echocardiography volumetric assessment of the severity of tricuspid regurgitation
Doctor C. Baratto (Bergamo, IT)
Abstract Slides Video
Presentation thumbnail
Long-term outcomes in patients with combined significant aortic regurgitation and mitral regurgitation
Mr C. Ng (Leiden, NL)
Abstract Slides Video
Presentation thumbnail
Supervised learning techniques based on convolutional neural networks (CNNs) for the classification of mitral regurgitation severity
Doctor M. Calvo Asensio (Valencia, ES)
Abstract Slides Video
Presentation thumbnail
Functional changes of the right ventricle and right atrium after surgery for primary mitral regurgitation
Doctor N. Elmasry (Leiden, NL)
Abstract Slides Video

Access the full session

Session thumbnail
What's new in valvular heart disease
Video

The Event

Event poster

EACVI 2025

11 December - 13 December 2025
You may be interested in
thumbnail
Congress Session
How to get artificial intelligence to the bedside of aortic stenosis
thumbnail
Congress Session
Is artificial intelligence the valvular physician's best friend?
thumbnail
Congress Session
Digital tools to inform decisions in aortic stenosis

ESC 365 is supported by

novartis Explore sponsored resources

ESC 365 is supported by

novartis Explore sponsored resources