Back

Diagnostic performance of artificial intelligence-driven electrocardiogram algorithms in detecting heart failure with preserved ejection fraction: a systematic review and meta-analysis

29 August 2025 (07:00 - 18:00)
Organised by: Logo
Congress Presentation Part of: Smart ECGs: bridging technology and cardiovascular care Artificial Intelligence ESC Professional Premium Access ESC Congress 2025 European Society of Cardiology

About the speaker

Photo
Mr Juan Peres De Oliveira

(Brazil)

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
Prospective validation in a real-world cohort of a deep learning model for left ventricular filling pressure estimation using standard 12-lead ECG
Doctor A. Cinq-Mars (Paris, FR)
Abstract Slides Video

Access the full session

Session thumbnail
Smart ECGs: bridging technology and cardiovascular care

The Event

Event poster

ESC Congress 2025

29 August - 1 September 2025
You may be interested in
thumbnail
Congress Presentation
Diagnostic and prognostic evaluation of an echocardiography-based artificial intelligence algorithm for detecting HFpEF: a case-control analysis
thumbnail
Congress Presentation
Point-of-care screening for heart failure with reduced ejection fraction using simple pulse oximetry
thumbnail
Congress Presentation
Performance of an automated echocardiographic artificial intelligence model. to detect subclinical heart failure with preserved ejection fraction (HFpEF) in community-dwelling older adults

ESC 365 is supported by

novartis Explore sponsored resources

ESC 365 is supported by

novartis Explore sponsored resources