Back

Machine learning algorithms for predicting arrhythmic events in hypertrophic cardiomyopathy: limited enhancement beyond late gadolinium enhancement

29 August 2025 (07:00 - 18:00)
Organised by: Logo
Congress Presentation Part of: Advanced cardiac magnetic resonance imaging in hypertrophic cardiomyopathy Myocardial Disease ESC Professional Premium Access ESC Congress 2025 European Society of Cardiology

About the speaker

Photo
Doctor Joana Certo Pereira

Hospital de Santa Cruz, Carnaxide (Portugal)

5 More presentations in this session

Presentation thumbnail
Diagnostic performance of cardiac diffusion tensor imaging in subclinical hypertrophic cardiomyopathy: a comparison with strain analysis
Doctor M. Asad (Manchester, GB)
Abstract Slides Video
Presentation thumbnail
The prognostic value of right ventricular kinetic energy for predicting adverse events in hypertrophic cardiomyopathy
Professor L. Zhong (Singapore, SG)
Abstract Slides Video
Presentation thumbnail
Evaluation of genotype-phenotype correlation in hypertrophic cardiomyopathy using radiomic analysis of cardiac magnetic resonance
Doctor L. Tassetti (Milan, IT)
Abstract Slides Video
Presentation thumbnail
Prognostic value of left atrioventricular coupling index for the prediction of adverse cardiac outcomes in patients with hypertrophic cardiomyopathy
Doctor S. Titichoatrattana (Bangkok, TH)
Abstract Slides Video
Presentation thumbnail
Insight into left ventricular diastolic compensation in hypertrophic cardiomyopathy with left ventricular outflow obstruction: a 4D flow CMR study
Professor L. Zhong (Singapore, SG)
Abstract Slides Video

Access the full session

Session thumbnail
Advanced cardiac magnetic resonance imaging in hypertrophic cardiomyopathy

The Event

Event poster

ESC Congress 2025

29 August - 1 September 2025
You may be interested in
thumbnail
Congress Presentation
Machine learning algorithms for predicting arrhythmic events in hypertrophic cardiomyopathy: limited enhancement beyond late gadolinium enhancement
thumbnail
Congress Session
Prognostication in left ventricular hypertrophy: role of cardiac magnetic resonance imaging
thumbnail
Congress Presentation
Prediction of ventricular arrhythmias in non-ischemic cardiomyopathy using a 12-lead ECG-based machine learning model

ESC 365 is supported by

novartis Explore sponsored resources

ESC 365 is supported by

novartis Explore sponsored resources