Artificial intelligence enabled electrocardiogram for mortality and ventricular arrhythmia prediction

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Artificial intelligence enabled electrocardiogram for mortality and ventricular arrhythmia prediction

Session: eCardiology Award

Topic: Artificial Intelligence (Machine Learning, Deep Learning)

Speaker: Doctor A. Sau (London, GB)

Event: EHRA 2024

Congress Presentation

About the speaker

Doctor Arunashis Sau

Imperial College London, London (United Kingdom of Great Britain & Northern Ireland)

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3 more presentations in this session

Machine learning for outcome prediction of atrial fibrillation recurrence after catheter ablation

Speaker: Doctor S. Knecht (Basel, CH)

Can prediction of acute myocardial infarction using a deep learning-enabled electrocardiogram be used in real-world practice?

Speaker: Associate Professor L. Jung (Jeonju, KR)

Predictive machine learning model for mechanical dilatation in transvenous lead extraction procedures.

Speaker: Doctor R. De Lucia (Pisa, IT)

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eCardiology Award

Speakers: Doctor A. Sau, Doctor S. Knecht, Associate Professor L. Jung, Doctor R. De Lucia

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About the event

EHRA 2024

7 April - 9 April 2024

Sessions Presentations

Congress

Artificial intelligence enabled electrocardiogram for mortality and ventricular arrhythmia prediction

About the speaker

Doctor Arunashis Sau

3 more presentations in this session

Machine learning for outcome prediction of atrial fibrillation recurrence after catheter ablation

Can prediction of acute myocardial infarction using a deep learning-enabled electrocardiogram be used in real-world practice?

Predictive machine learning model for mechanical dilatation in transvenous lead extraction procedures.

Access the full session

eCardiology Award

About the event

EHRA 2024

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