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Commented articles from the ESC Working Group on e-Cardiology

Published by the ESC Working Group on e-Cardiology

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

Date

Title

Date: 01/12/2024

Title: Finding the ‘Hidden Treasure’ in ECG with advanced ai: a novel deep learning application for accurately detecting atrial fibrillation from sinus rhythm
Date: 01/06/2024

Title: Generative AI: A Transformative Force in Cardiovascular Care?
Date: 01/04/2024

Title: AI-assisted screening for cardiac amyloidosis in scintigraphy: addressing a core clinical gap?
Date: 01/02/2024

Title: Dynamic machine learning model with latent ECG representations analysis for malignant ventricular arrhythmias prediction: ready to open the black box?
Date: 01/10/2023

Title: The strengths and challenges characterizing electrophysiology in the digital age, as discussed in the recently published 'The Digital Journey' for Europace's 25th anniversary.
Date: 13/06/2023

Title: How to address non-responders to cardiac resynchronization therapy issue using artificial intelligence: the potential role of an explainable electrocardiogram-based deep learning.