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Guiding the targeted deployment of AI-ECG for the precision diagnosis of structural heart disorders in the electronic health record

Session: Artificial intelligence guiding clinical diagnosis: from imaging to ECG
Topic: Multimodal
Speaker: Doctor E. Oikonomou (New Haven, US)
Event: ESC Congress 2025

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About the speaker

Doctor Evangelos K Oikonomou

Yale School of Medicine, New Haven (United States of America)
5 presentations
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4 more presentations in this session

State-of-the-art lecture on artificial intelligence guiding clinical diagnosis: from imaging to ECG

Speaker: Professor D. O'Regan (London, GB)

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A digital twin approach for automated left ventricular wall thickness assessment from 2D echocardiography

Speaker: Doctor J. Fernandes (London, GB)

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ECG-XPLAIM: an eXPlainable Locally-adaptive Artificial Intelligence Model for arrhythmia detection from large-scale electrocardiogram data

Speaker: Doctor P. Pantelidis (Athens, GR)

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Artificial intelligence-derived vascular age from photoplethysmography: a novel digital biomarker for cardiovascular health

Speaker: Doctor Q. Zhao (Beijing, CN)

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Access the full session

Artificial intelligence guiding clinical diagnosis: from imaging to ECG

Speakers: Doctor E. Oikonomou, Professor D. O'Regan, Doctor J. Fernandes, Doctor P. Pantelidis, Doctor Q. Zhao
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About the event

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ESC Congress 2025

29 August - 1 September 2025

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