ESC 365 - Predicting incidental atrial fibrillation from the general population

EHRA Premium Access

Predicting incidental atrial fibrillation from the general population

Session: Artificial intelligence: not so smart after all?

Topic: Artificial Intelligence

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

Event: EHRA 2024

Congress Presentation

Add to my library

About the speaker

Associate Professor Paul Zei

Brigham and Women's Hospital, Boston (United States of America)

10 presentations

0 follower

3 more presentations in this session

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)

The role of artificial intelligence in patient selection for ablation procedures

Speaker: Doctor T. Baykaner (Stanford, US)

Access the full session

Artificial intelligence: not so smart after all?

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

About the event

EHRA 2024

7 April - 9 April 2024

Sessions Presentations

Congress

ESC 365 is supported by

novartis

Explore sponsored resources