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Deep learning from 1 million clinical ecgs using transform domain representations for arrhythmia classification and ejection fraction estimation

14 April 2026 (13:49 - 13:57)
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Congress Presentation Part of: Basic science and eCardiology Artificial Intelligence EHRA Premium Access EHRA 2026 European Heart Rhythm Association (EHRA)

About the speaker

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Doctor Ivan Nenadic Wood

Duke University Hospital, Durham (United States of America)

5 More presentations in this session

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A multimodal artificial intelligence approach for atrial fibrillation subtype classification and post-ablation recurrence risk stratification
Doctor O. Kwon (Seoul, KR)
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High-density unipolar endocardial mapping before and after ajmaline challenge to assess transmural repolarization gradients in Brugada syndrome: comparison with controls.
Doctor A. Rossi (Pisa, IT)
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Prevalence of cytopenia and clonal cytopenia in patients with heart rhythm disorders
Ms A. Traub (Luebeck, DE)
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Optimizing conscious sedation and anxiety control using virtual reality in the electrophysiology lab: a retrospective pilot study on VT ablation
Assistant Professor Y. Yilancioglu (Izmir, TR)
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Alteration of ionic channel gating properties of inward sodium and outward potassium currents in the ventricle and stellate ganglia in murine Parkinson's disease model
Doctor B. Lee (Guildford, GB)
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Basic science and eCardiology
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The Event

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EHRA 2026

14 April 2026 13:49 CET
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