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

Session: AI in ECG-based risk stratification and disease prediction
Topic: Artificial Intelligence, Other
Speaker: Professor O. Akbilgic (Winston-Salem, US)
Event: ESC Digital & AI Summit 2025

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About the speaker

Professor Oguz Akbilgic

Wake Forest Baptist Medical Center, Winston-Salem (United States of America)
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5 more presentations in this session

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

Speaker: Mr J. Hennecken (Amsterdam, NL)

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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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Electrocardiogram-based artificial intelligence to predict incident heart failure risk

Speaker: Doctor S. Kany (Hamburg, DE)

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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: Professor O. Akbilgic, Mr J. Hennecken, Professor O. Akbilgic, Doctor P. Pantelidis, Doctor S. Kany...
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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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