Prospective validation in a real-world cohort of a deep learning model for left ventricular filling pressure estimation using standard 12-lead ECG

1 September 2025 (10:15 - 11:00)

Organised by:

Video

Abstract

Sign in to view the resources

Slides

About the speaker

Doctor Alexandre Cinq-Mars

Institut Cardiovasculaire Paris Sud, Paris (France)

6 More presentations in this session

Presentation thumbnail

AI-ECG performance in detecting left ventricular systolic dysfunction and predicting death in Chagas disease patients: SaMi-Trop project

Associate Professor C. Cardoso (Divinopolis, BR)

Abstract Slides Video

Presentation thumbnail

AI-Enhanced ECG for pulmonary hypertension detection: integrating machine learning and deep learning approaches

Doctor J. Huang (Taipei, TW)

Abstract Slides Video

Presentation thumbnail

AI-ECG-derived biological age as a predictor of mortality in cardiovascular and acute care patients

Doctor D. Pavluk (Innsbruck, AT)

Abstract Slides Video

Presentation thumbnail

Explainable and interpretable AI visualises self-learned clinically relevant ECG characteristics of rhythm and morphology paving the way for trustworthy diagnostic support

Mr A. Hammer (Dresden, DE)

Abstract Slides Video

Presentation thumbnail

AI-driven analysis of treadmill test ECG: clinical utility and performance evaluation

Mr Y. Na (Seoul, KR)

Abstract Slides Video

Access the full session

Session thumbnail

Smart ECGs: bridging technology and cardiovascular care

The Event

Event poster

ESC Congress 2025

1 September 2025 10:15 CET

You may be interested in

Congress Presentation

Left ventricular filling pressure by artificial intelligence-enabled electrocardiogram, echocardiography, and cardiac catheterization

Congress Session

Advances in Science in imaging in heart failure

Congress Session

Artificial intelligence for today use

ESC 365 is supported by

novartis

Explore sponsored resources

ESC 365 is supported by

novartis

Explore sponsored resources