Back
ESC2025 Premium Access

Artificial intelligence for prediction of major arrhythmic events in dilated cardiomyopathy

Session: Data meets diagnostics: use of artificial intelligence in arrhythmias
Topic: Artificial Intelligence
Speaker: Doctor M. Coriano' (London, GB)
Event: ESC Congress 2025

Congress Presentation

Add to my library

Like

About the speaker

Doctor Mattia Coriano'

Imperial College London, London (United Kingdom of Great Britain & Northern Ireland)
1 follower

6 more presentations in this session

Impact of arrhythmias on the performance of a deep learning model for predicting echocardiographic abnormalities from electrocardiograms

Speaker: Doctor G. Fujiki (Tokyo, JP)

Access
Abstract
Slides
Video
Like
Thumbnail

Development of deep learning models for predicting atrial fibrillation occurrence using real world hand-held mobile electrocardiograms

Speaker: Mr Y. Na (Seoul, KR)

Access
Abstract
Slides
Video
Like
Thumbnail

Prediction of new-onset atrial fibrillation in patients with hypertrophic cardiomyopathy using artificial intelligence-enhanced electrocardiogram

Speaker: Doctor Z. Xiao (Shanghai, CN)

Access
Abstract
Slides
Video
Like
Thumbnail

Latent representation of intracardiac electrograms using an AI-based autoencoder for rhythm classification

Speaker: Mr L. Lin (Madrid, ES)

Access
Abstract
Slides
Video
Like
Thumbnail

Identifying optimal electrocardiogram lead combinations for artificial intelligence

Speaker: Mr M. Nakayama (Boston, US)

Access
Abstract
Slides
Video
Like
Thumbnail

Access the full session

Data meets diagnostics: use of artificial intelligence in arrhythmias

Speakers: Doctor M. Coriano', Doctor G. Fujiki, Mr Y. Na, Doctor Z. Xiao, Mr L. Lin...
Access
Like
Thumbnail

About the event

Image

ESC Congress 2025

29 August - 1 September 2025

Sessions Presentations

Congress
logo Image

ESC 365 is supported by

bristol-myers-squibb Explore sponsored resources
novartis Explore sponsored resources
novo-nordisk Explore sponsored resources