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

7 April 2024 (09:30 - 10:15)
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Congress Presentation Part of: eCardiology 1 Artificial Intelligence EHRA Premium Access EHRA 2024 European Heart Rhythm Association (EHRA)

About the speaker

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Mr Sang-Won Lee

Incheon (Korea (Republic of))

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Changes in public interest in sudden cardiac arrest: a big data analysis
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Assistant Professor W. sasaki (Hidaka, JP)
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Artificial intelligence-estimated electrocardiographic age as a recurrence predictor after atrial fibrillation catheter ablations
Doctor H. Park (Seoul, KR)
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Recognition of Brugada type 1 pattern on ECG by Echo State Networks
Mr F. Vozzi (Pisa, IT)
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Same-day discharge strategy in a heart rhythm management clinic - what about patients' reported experience ?
Doctor S. Zeriouh (Cambridge, GB)
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eCardiology 1

The Event

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EHRA 2024

7 April 2024 09:30 CET
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