Back

AI-enhanced ECG screening for LV systolic dysfunction in the Framingham Heart Study

29 August 2025 (10:15 - 11:00)
Organised by: Logo
Congress Presentation Part of: Artificial intelligence in cardiology: transforming ECG analysis for precision care Artificial Intelligence ESC Professional Premium Access ESC Congress 2025 European Society of Cardiology

About the speaker

Photo
Doctor Anthony Demolder

Cardiovascular Research Center Aalst, Aalst (Belgium)

7 More presentations in this session

Presentation thumbnail
Performance of a deep learning ECG model in predicting atrial fibrillation among patients with implantable loop recorders
Doctor A. Estrada-Magana (Bronx, US)
Abstract Slides Video
Presentation thumbnail
Predicting ventricular tachycardia in post-MI patients years in advance using artificial intelligence on ECGs
Miss C. Buck (Eindhoven, NL)
Abstract Slides Video
Presentation thumbnail
Machine-learning based ECG model to differentiate takotsubo syndrome from myocardial infarction
Doctor P. Tornvall (Stockholm, SE) Doctor H. Hakansson (Stockholm, SE)
Abstract Slides Video
Presentation thumbnail
Artificial intelligence-driven ECG biomarkers for accurate screening of large pericardial effusion
Assistant Professor M. SOH (Suwon, KR)
Abstract Slides Video
Presentation thumbnail
AI-driven dual-ECG analysis for non-invasive monitoring of heart failure status changes
Doctor Y. Nishihara (Kobe, JP)
Abstract Slides Video

Access the full session

Session thumbnail
Artificial intelligence in cardiology: transforming ECG analysis for precision care

The Event

Event poster

ESC Congress 2025

29 August 2025 10:15 CET
You may be interested in
thumbnail
Congress Presentation
A smartphone based AI model to detect left ventricular systolic dysfunction on 12-lead ECG
thumbnail
Congress Presentation
Implementing an AI-ECG based algorithm to screen for left ventricular dysfunction in Kenya: a prospective cohort study
thumbnail
Congress Presentation
Assessing the external performance of AI-ECG for left ventricular systolic dysfunction: a review and multinational head-to-head comparison

ESC 365 is supported by

novartis Explore sponsored resources

ESC 365 is supported by

novartis Explore sponsored resources