ESC Professional Premium Access

Deep learning-based electrocardiogram analysis detecting paroxysmal atrial fibrillation during sinus rhythm in patients with cryptogenic stroke : validation study using implantable cardiac monitoring

Congress Presentation

About the speaker

Assistant Professor Ki-Hyun Jeon

Seoul National University Bundang Hospital, Seongnam (Korea (Republic of))
0 follower

5 more presentations in this session

Automated electronic health record frailty assessment for older cardiac patients

Speaker: Doctor A. Anand (Edinburgh, GB)

Thumbnail

Multi-category classification of left ventricle ejection fraction using a convolutional neural network

Speaker: Professor R. Carter (Jacksonville, US)

Thumbnail

Smartphone-based remote monitoring in chronic heart failure: patient & clinician user experience, impact on patient engagement and quality of life.

Speaker: Miss A. Auton (London, GB)

Thumbnail

Evaluation of cardiac function and 30-day clinical outcome with synchronized analysis of phonocardiogram and electrocardiogram in patients with acute myocardial infarction

Speaker: Doctor W. Zhang (Shanghai, CN)

Thumbnail

Estimating prevalence and characteristics of statin intolerance among high and very high cardiovascular risk patients in Germany between 2017-2020

Speaker: Professor K. Parhofer (Munich, DE)

Thumbnail

Access the full session

Digital health innovation: from artificial intelligence to clinical decision support

Speakers: Assistant Professor K. Jeon, Doctor A. Anand, Professor R. Carter, Miss A. Auton, Doctor W. Zhang...
Thumbnail

About the event

Image

ESC Congress 2022

26 August - 29 August 2022

Sessions Presentations