Back

Studying the relation between post-infarction ventricular arrhythmia and left ventricular myocardium thinning on computed tomography images using explainable deep learning

4 April 2022 (11:12 - 11:20)
Organised by:
Congress Presentation Part of: The digital ECG world and beyond Artificial Intelligence EHRA Premium Access EHRA 2022

About the speaker

Photo
Mr Buntheng Ly

Inria, Sophia-Antipolis (France)

5 More presentations in this session

Presentation thumbnail
Patient motivation and adherence to an on-demand app-based heart rate and rhythm monitoring infrastructure for atrial fibrillation management through teleconsultation. TeleCheck-AF project results
Doctor M. Gawalko (Warsaw, PL)
Abstract Slides Video
Presentation thumbnail
Remote device monitoring shows long-term survival benefit in a propensity matched study of ICD patients
Mr M. Kolk (Amsterdam, NL)
Abstract Slides Video
Presentation thumbnail
Improvement of a convolutional neural network using synthetic ECGs for the diagnosis of different atrial rhythms
Associate Professor L. Alvarez Acosta (Santa Cruz de Tenerife, ES)
Abstract Slides Video
Presentation thumbnail
Adherence to mobile health for intermittent rhythm monitoring to detect recurrences after emergency department visit for recent-onset atrial fibrillation: a subanalysis of the RACE 7 ACWAS trial.
Miss R. Van Der Velden (Maastricht, NL)
Abstract Slides Video
Presentation thumbnail
The impact of SMARTpass algorithm status on inappropriate shock rates in the UNTOUCHED Study
Professor L. Boersma (Nieuwegein, NL)
Abstract Slides Video

Access the full session

Session thumbnail
The digital ECG world and beyond

The Event

Event poster

EHRA 2022

4 April 2022 11:12 CET
You may be interested in
thumbnail
Congress Session
Evolutions in arrythmia and syncope management
thumbnail
Congress Session
Artificial intelligence in heart failure research and clinical practice
thumbnail
Congress Presentation
Digital health and artificial intelligence in cardiology

ESC 365 is supported by

novartis Explore sponsored resources

ESC 365 is supported by

novartis Explore sponsored resources