Prognostic assessment based on the trajectory of artificial intelligence-enabled electrocardiograms for age estimation

30 August 2024 (08:00 - 17:30)

Organised by:

Sign in for access options

Sign in to view the resources

Sign in for access options

About the speaker

Doctor Taehyun Hwang

Severance Cardiovascular Hospital, Yonsei University College of Medicine, Seoul (Korea (Republic of))

4 More presentations in this session

Presentation thumbnail

Integration of artificial intelligence in electrocardiography: state-of-the art lecture

Doctor F. Lopez-Jimenez (Rochester, US)

Presentation thumbnail

An artificial intelligence-enabled electrocardiogram model outperforms the revised cardiac risk index score for predicting major adverse cardiovascular events in patients undergoing noncardiac surgery

Doctor A. Estrada-Magana (Bronx, US)

Abstract Slides Video

Presentation thumbnail

A smartphone based AI model to detect left ventricular systolic dysfunction on 12-lead ECG

Doctor A. Demolder (Aalst, BE)

Abstract Slides Video

Presentation thumbnail

Incident atrial fibrillation prediction using ECG-based deep learning at a specialized tertiary cardiac care center

Doctor G. Jabbour (Montreal, CA)

Abstract Slides Video

Access the full session

Session thumbnail

Integration of artificial intelligence in electrocardiography: state of the art

The Event

Event poster

ESC Congress 2024

30 August - 2 September 2024

You may be interested in

Congress Presentation

AI-ECG-derived biological age as a predictor of mortality in cardiovascular and acute care patients

Congress Presentation

Artificial intelligence derived electrocardiographic aging and the risk of new and early onset cardiovascular disease

Congress Presentation

Artificial intelligence-estimated electrocardiographic age as a recurrence predictor after atrial fibrillation catheter ablations

ESC 365 is supported by

novartis

Explore sponsored resources

ESC 365 is supported by

novartis

Explore sponsored resources