Explainable Paroxysmal Atrial Fibrillation Diagnosis Using Electrocardiogram with Artificial Intelligence

18 April 2023 (12:20 - 12:30)

Organised by:

Video

Sign in for access options

Abstract

Slides

About the speaker

Associate Professor Ki Hong Lee

Chonnam National University Hospital, Gwangju (Korea (Republic of))

5 More presentations in this session

Presentation thumbnail

Identification of a real-world clinical model associated with atrial fibrillation in a large french primary care database

Doctor P. Sabouret (Paris, FR)

Abstract Slides Video

Presentation thumbnail

The association between adherence to a systematic atrial fibrillation screening program and clinical outcomes: a subanalysis from the STROKESTOP study

Miss R. Van Der Velden (Maastricht, NL)

Abstract Slides Video

Presentation thumbnail

Accuracy of continuous photoplethysmography-based heart rate assessment during atrial fibrillation.

Ms A. Hermans (Maastricht, NL)

Abstract Slides Video

Presentation thumbnail

Automated atrial fibrillation detection with a smartwatch and smart-ring in individuals with cardiovascular disease

Doctor A. Briosa E Gala (Bern, CH)

Abstract Slides Video

Presentation thumbnail

Electrocardiographic markers of subclinical atrial fibrillation detected by implantable loop recorder

Doctor L. Xing (Copenhagen, DK)

Abstract Slides Video

Access the full session

Session thumbnail

Atrial Fibrillation - Round 6 - Clinical 2

The Event

Event poster

EHRA 2023

18 April 2023 12:20 CET

You may be interested in

Congress Presentation

The P wave in sinus rhythm has it all

Congress Presentation

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

Congress Presentation

Mobile single-lead ECG atrial fibrillation prediction enhancement integrated by standard ECG algorithm with Deep learning model

ESC 365 is supported by

novartis

Explore sponsored resources

ESC 365 is supported by

novartis

Explore sponsored resources