Back

AI-based approach challenges expert reliability in clinical echocardiography analysis

11 December 2025 (08:00 - 15:30)
Organised by: Logo
Congress Presentation Part of: How can we improve current echocardiographic approaches Morphology, Dimensions, Volumes and Mass EACVI Premium Access EACVI 2025 European Association of Cardiovascular Imaging (EACVI)

About the speaker

Photo
Professor Pablo Lamata

King's College London, London (United Kingdom of Great Britain & Northern Ireland)

6 More presentations in this session

Presentation thumbnail
Training the eye: an online educational course improves the visual assessment of mechanical dyssynchrony in candidates for cardiac resynchronization therapy
Doctor P. Grilo Diogo (Leuven, BE)
Abstract Slides
Presentation thumbnail
Deep learning segmentation and quantification of the left ventricle from the parasternal short axis view
Ms I. Tveten (Trondheim, NO) Doctor A. Oestvik (Trondheim, NO)
Abstract Slides
Presentation thumbnail
Clinical utility of a fully automated AI system for accurate left ventricular mass measurement in echocardiography
Doctor K. Sveric (Dresden, DE)
Abstract Slides
Presentation thumbnail
Enhancing image quality quantification in echocardiography by combining multiple quality dimensions
Professor P. Lamata (London, GB) Doctor J. Corral Acero (Madrid, ES)
Abstract Slides
Presentation thumbnail
Not just thick, but stiff? shear wave imaging unmasks differences in hypertrophic left ventricles
Doctor A. Popescu (Mainz, DE)
Abstract Slides

Access the full session

Session thumbnail
How can we improve current echocardiographic approaches

The Event

Event poster

EACVI 2025

11 December - 13 December 2025

ESC 365 is supported by

novartis Explore sponsored resources

ESC 365 is supported by

novartis Explore sponsored resources