ESC 365 - Automated detection of low ejection fraction from a one-lead electrocardiogram: application of an AI algorithm to an electrocardiogram-enabled digital stethoscope

ESC Professional Premium Access

Automated detection of low ejection fraction from a one-lead electrocardiogram: application of an AI algorithm to an electrocardiogram-enabled digital stethoscope

Session: The best of The European Heart Journal – Digital Health 2022-2023

Topic: e-Cardiology/Digital Health

Speaker: Doctor Z. Attia (Rochester, US)

Event: ESC Congress 2023

Congress Presentation

Add to my library

About the speaker

Doctor Zachi Attia

Mayo Clinic Hospital - St. Mary's Campus, Rochester (United States of America)

3 presentations

1 follower

4 more presentations in this session

Smartphone as an electronic stethoscope: factors influencing heart sound quality

Speaker: Doctor H. Luo (Oslo, NO)

Non-invasive detection of cardiac allograft rejection among heart transplant recipients using an electrocardiogram-based deep learning model

Speaker: Assistant Professor D. Adedinsewo (Jacksonville, US)

Smartwatch-derived heart rate variability: a head-to-head comparison with the gold standard in cardiovascular disease

Speaker: Doctor F. Theurl (Innsbruck, AT)

The best of The European Heart Journal – Digital Health 2022-2023 - discussion

Access the full session

The best of The European Heart Journal – Digital Health 2022-2023

Speakers: Doctor Z. Attia, Doctor H. Luo, Assistant Professor D. Adedinsewo, Doctor F. Theurl

About the event

ESC Congress 2023

25 August - 28 August 2023

Sessions Presentations

Congress

ESC 365 is supported by

Explore sponsored resources

Explore sponsored resources