Back

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

12 April 2026 (08:00 - 15:30)
Organised by: Logo
Congress Presentation Part of: Poster session (3): mechanisms and management of arrhythmias Artificial Intelligence EHRA Premium Access EHRA 2026 European Heart Rhythm Association (EHRA)

About the speaker

Photo
Doctor Joana Certo Pereira

Hospital de Santa Cruz, Carnaxide (Portugal)

196 More presentations in this session

Presentation thumbnail
Comparison of ECG findings between young patients with cryptogenic ischemic stroke and stroke-free control subjects
Doctor J. Uutela (Jyvaskyla, FI)
Abstract
Presentation thumbnail
A wearable SCG-based approach for early, low-cost screening of valvular heart disease
Doctor V. Pergola (Naples, IT)
Presentation thumbnail
Intraoperative assessment of cardiac parasympathetic tone using short-term HRV metrics before and after atropine administration: a pilot study
Doctor B. Hrymniak (Wroclaw, PL)
Abstract
Presentation thumbnail
Arrhythmia phenotypes in hair-loss therapies: insights from minoxidil and finasteride reports in eudravigilance
Doctor Y. Shhab (Bucharest, RO)
Abstract
Presentation thumbnail
Arrhythmias and device therapy in HFpEF: Insights from a real-world hospital cohort
Ms A. Bondoc (Timisoara, RO)
Abstract Slides Video

Access the full session

Session thumbnail
Poster session (3): mechanisms and management of arrhythmias

The Event

Event poster

EHRA 2026

12 April - 14 April 2026
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 Session
Novel risk predictors in hypertrophic cardiomyopathy

ESC 365 is supported by

novartis Explore sponsored resources

ESC 365 is supported by

novartis Explore sponsored resources