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

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

Session: eCardiology Award

Topic: Artificial Intelligence (Machine Learning, Deep Learning)

Speaker: Doctor S. Knecht (Basel, CH)

Event: EHRA 2024

Congress Presentation

About the speaker

Doctor Sven Knecht

University Hospital Basel, Basel (Switzerland)

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3 more presentations in this session

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)

Artificial intelligence enabled electrocardiogram for mortality and ventricular arrhythmia prediction

Speaker: Doctor A. Sau (London, GB)

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eCardiology Award

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

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About the event

EHRA 2024

7 April - 9 April 2024

Sessions Presentations

Congress

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

About the speaker

Doctor Sven Knecht

3 more presentations in this session

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.

Artificial intelligence enabled electrocardiogram for mortality and ventricular arrhythmia prediction

Access the full session

eCardiology Award

About the event

EHRA 2024

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