Back

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

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

1 September 2025 10:15 CET
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
Use of artificial intelligence for diagnosis of heart failure: ECG
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