EHRA 2024 Premium Access

Artificial intelligence-estimated electrocardiographic age as a recurrence predictor after atrial fibrillation catheter ablations

Topic: Artificial Intelligence (Machine Learning, Deep Learning)

Congress Presentation

About the speaker

Doctor Hanjin Park

Severance Cardiovascular Hospital, Yonsei University College of Medicine, Seoul (Korea (Republic of))
1 follower

8 more presentations in this session

Changes in public interest in sudden cardiac arrest: a big data analysis

Speaker: Doctor J. Han (Los Angeles, US)

Thumbnail

Results of external validation for anatomical site recognition of ablation sites in atrial fibrillation using the CARTONET R12 model

Speaker: Assistant Professor W. sasaki (Hidaka, JP)

Thumbnail

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

Speaker: Mr S. Lee (Incheon, KR)

Thumbnail

Recognition of Brugada type 1 pattern on ECG by Echo State Networks

Speaker: Mr F. Vozzi (Pisa, IT)

Thumbnail

Same-day discharge strategy in a heart rhythm management clinic - what about patients' reported experience ?

Speaker: Doctor S. Zeriouh (Cambridge, GB)

Thumbnail

Access the full session

eCardiology 1

Speakers: Doctor H. Park, Doctor J. Han, Assistant Professor W. sasaki, Mr S. Lee, Mr F. Vozzi...
Thumbnail

About the event

Image

EHRA 2024

7 April - 9 April 2024

Sessions Presentations

ESC 365 is supported by

logo Novo Nordisk
logo Bristol Myers Squibb