Back

Twelve-lead electrocardiography-based artificial intelligence predicts the upcoming future of patients with heart failure with mildly reduced ejection fraction

7 April 2024 (08:30 - 15:00)
Organised by: Logo
Congress Presentation Part of: eCardiology 1 Artificial Intelligence EHRA Premium Access EHRA 2024 European Heart Rhythm Association (EHRA)

About the speaker

Photo
Mr Sang-Won Lee

Incheon (Korea (Republic of))

8 More presentations in this session

Presentation thumbnail
Changes in public interest in sudden cardiac arrest: a big data analysis
Doctor J. Han (Los Angeles, US)
Abstract Slides Video
Presentation thumbnail
Results of external validation for anatomical site recognition of ablation sites in atrial fibrillation using the CARTONET R12 model
Assistant Professor W. sasaki (Hidaka, JP)
Abstract Slides Video
Presentation thumbnail
Artificial intelligence-estimated electrocardiographic age as a recurrence predictor after atrial fibrillation catheter ablations
Doctor H. Park (Seoul, KR)
Abstract Slides Video
Presentation thumbnail
Recognition of Brugada type 1 pattern on ECG by Echo State Networks
Mr F. Vozzi (Pisa, IT)
Abstract Slides Video
Presentation thumbnail
Same-day discharge strategy in a heart rhythm management clinic - what about patients' reported experience ?
Doctor S. Zeriouh (Cambridge, GB)
Abstract Slides Video

Access the full session

Session thumbnail
eCardiology 1

The Event

Event poster

EHRA 2024

7 April - 9 April 2024
You may be interested in
thumbnail
Congress Presentation
Non-invasive risk assessment and prediction of cardiac outcomes in patients with heart failure or myocardial infarction using deep learning method
thumbnail
Congress Presentation
Point-of-care screening for heart failure with reduced ejection fraction using simple pulse oximetry
thumbnail
Congress Presentation
Diagnostic performance of artificial intelligence-driven electrocardiogram algorithms in detecting heart failure with preserved ejection fraction: a systematic review and meta-analysis

ESC 365 is supported by

novartis Explore sponsored resources

ESC 365 is supported by

novartis Explore sponsored resources