ESC 365 - The role of artificial intelligence in patient selection for ablation procedures

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The role of artificial intelligence in patient selection for ablation procedures

Session: Artificial intelligence: not so smart after all?

Topic: Artificial Intelligence (Machine Learning, Deep Learning)

Speaker: Doctor T. Baykaner (Stanford, US)

Event: EHRA 2024

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About the speaker

Doctor Tina Baykaner

Stanford University, Stanford (United States of America)

2 presentations

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Predicting incidental atrial fibrillation from the general population

Speaker: Associate Professor P. Zei (Boston, US)

Interpretation of tracing from implantable cardiac devices to optimise remote monitoring

Speaker: Professor B. Joung (Seoul, KR)

Better understanding of ventricular desynchrony: predicting outcomes in cardiac resynchronisation

Speaker: Doctor B. Krzowski (Warsaw, PL)

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Artificial intelligence: not so smart after all?

Speakers: Doctor T. Baykaner, Associate Professor P. Zei, Professor B. Joung, Doctor B. Krzowski

About the event

EHRA 2024

7 April - 9 April 2024

Sessions Presentations

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