This section includes a selection of interesting papers explained and commented by members of the Working Group on e-Cardiology. If you are interested in submitting a paper, please contact the nucleus members of the Working Group.
Automating Cardiovascular Data Extraction: Where Do We Stand with Large Language Models?
Mind the age gap with your smartwatch
Artificial Intelligence in cardiovascular disease prevention: the answer to inadequately controlled risk factors?
Unlocking Cardiometabolic Insights from Routine Imaging: A New Frontier in Risk Stratification
AI-ECG for congenital heart disease: a leap toward lifelong monitoring of ventricular dysfunction
Smarter scars: artificial intelligence personalisation in persistent atrial fibrillation takes a leap
ECG Analysis to Predict Cardiovascular Diseases – a Critical Appraisal of Dataset Quality and the Need for External Vali
Finding the ‘Hidden Treasure’ in ECG with Advanced AI: A Novel Deep Learning Application for Accurately Detecting Atrial
Generative AI: A Transformative Force in Cardiovascular Care?