Back

Prediction of peak oxygen uptake from resting 12-lead electrocardiograms using deep learned representations in competitive athletes

30 August 2026 (11:15 - 12:00)
Organised by: Logo
Congress Presentation Part of: Sport and the heart Electrocardiography (ECG) ESC2026 Premium Access ESC Congress 2026 European Society of Cardiology

About the speaker

Photo
Mr Gyula Bohus

Semmelweis University Heart and Vascular Center, Budapest (Hungary)

6 More presentations in this session

Presentation thumbnail
Cardiac magnetic resonance evaluation of structural heart disease in a large athlete cohort
Doctor D. Balla (Budapest, HU)
Abstract Slides
Presentation thumbnail
Modulation of endothelial progenitor cells by repeated ice-water swimming
Doctor S. Kazum (Petah Tikva, IL)
Abstract Slides
Presentation thumbnail
Reevaluate hypertension in athletes based on the latest ESC guideline
Doctor L. Batai (Budapest, HU)
Abstract Slides
Presentation thumbnail
Multi-site lactate kinetics during moderate intensity resistance and endurance exercise in definitive and probable arrhythmogenic cardiomyopathy
Mr M. Shir (Munich, DE)
Abstract Slides
Presentation thumbnail
Clinical evaluation and ECG analysis with AI for competitive sports participation: VALETUDO trial
Doctor D. Marchetti (Milan, IT)
Abstract Slides

Access the full session

Session thumbnail
Sport and the heart

The Event

Event poster

ESC Congress 2026

30 August 2026 11:15 CET
You may be interested in
thumbnail
Congress Presentation
From continuous wearable heart rate to fitness forecasting: an interpretable proof-of-concept model to predict change in maximal oxygen uptake
14 April 2026
thumbnail
Congress Presentation
Digitized validation of ECG criteria for left ventricular hypertrophy: an elite athlete CMR study
25 April 2024
thumbnail
Congress Presentation
Peak oxygen consumption measured by cardiopulmonary testing is associated with inotropic reserve in patients with heart failure with reduced ejection fraction
21 May 2023
thumbnail
Congress Presentation
Deep learning algorithm predicts angiographic coronary artery disease in stable patients using only a standard 12-lead electrocardiogram
27 August 2021

ESC 365 is supported by

novartis Explore sponsored resources
novo-nordisk Explore sponsored resources

ESC 365 is supported by

novartis Explore sponsored resources
novo-nordisk Explore sponsored resources