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

Back

ESC2025 Premium Access

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

Session: Smart ECGs: bridging technology and cardiovascular care

Topic: Deep Learning

Speaker: Doctor A. Cinq-Mars (Paris, FR)

Event: ESC Congress 2025

Congress Presentation

Add to my library

About the speaker

Doctor Alexandre Cinq-Mars

Institut Cardiovasculaire Paris Sud, Paris (France)

1 presentation

0 follower

6 more presentations in this session

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

Speaker: Associate Professor C. Cardoso (Divinopolis, BR)

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

Speaker: Doctor J. Huang (Taipei, TW)

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

Speaker: Doctor D. Pavluk (Innsbruck, AT)

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

Speaker: Mr A. Hammer (Dresden, DE)

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

Speaker: Mr Y. Na (Seoul, KR)

Access the full session

Smart ECGs: bridging technology and cardiovascular care

Speakers: Doctor A. Cinq-Mars, Associate Professor C. Cardoso, Doctor J. Huang, Doctor D. Pavluk, Mr A. Hammer...

Access

About the event

ESC Congress 2025

29 August - 1 September 2025

Sessions Presentations

Congress

ESC 365 is supported by

Explore sponsored resources

Explore sponsored resources

Explore sponsored resources