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Electrocardiogram-based artificial intelligence to predict incident heart failure risk

Session: AI in ECG-based risk stratification and disease prediction
Topic: Machine Learning
Speaker: Doctor S. Kany (Hamburg, DE)
Event: ESC Digital & AI Summit 2025

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Doctor Shinwan Kany

The University Medical Center Hamburg-Eppendorf, Hamburg (Germany)
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5 more presentations in this session

Enhancing pre-test probability models for suspected coronary artery disease using 12-lead electrocardiogram

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Early identification of underdiagnosed HFpEF by artificial intelligence from electrocardiogram

Speaker: Professor O. Akbilgic (Winston-Salem, US)

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Beyond black-box electrocardiogram analysis: saliency-guided deep learning for differential diagnosis of tachyarrhythmias

Speaker: Doctor P. Pantelidis (Athens, GR)

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Electrocardiographic sex index applied to children: a proxy assessment for heart maturation

Speaker: Professor O. Akbilgic (Winston-Salem, US)

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Artificial intelligence derived ECG-age as a biomarker of mortality: a systematic review and meta-analysis

Speaker: Doctor I. Bozzi (Belo Horizonte, BR)

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Access the full session

AI in ECG-based risk stratification and disease prediction

Speakers: Doctor S. Kany, Mr J. Hennecken, Professor O. Akbilgic, Doctor P. Pantelidis, Professor O. Akbilgic...
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About the event

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ESC Digital & AI Summit 2025

21 November - 22 November 2025

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