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European Heart Journal|March 29, 2025
Near-term prediction of sustained ventricular arrhythmias applying artificial intelligence to single-lead ambulatory electrocardiogramLaurent Fiorina, Tanner Carbonati, Kumar Narayanan, et al.European Heart Journal. Digital Health|January 30, 2023
Short-term prediction of atrial fibrillation from ambulatory monitoring ECG using a deep neural networkJagmeet P Singh, Julien Fontanarava, Grégoire de Massé, et al.Circulation. Arrhythmia and Electrophysiology|August 26, 2025
Deep Learning Can Unmask Conduction Tissue Disease From an Ambulatory ECGLaurent Fiorina, Tanner Carbonati, Baptiste Maille, et al.Sensors (Basel, Switzerland)|April 14, 2026
A Multi-Center Trained Residual Neural Network for Robust Classification of Atrial High-Rate Episodes in Remotely Monitored Pacemakers and DefibrillatorsLars van Krimpen, Arlene John, Anand Thiyagarajah, et al.Medrxiv : the Preprint Server for Health Sciences|June 10, 2024
Deep neural networks detect regional wall motion abnormalities and preclinical cardiovascular disease from 12-lead ECGsTanner Carbonati, Parastou Eslami, Jonathan W Waks, et al.Nature Medicine|May 13, 2020
Prediction of mortality from 12-lead electrocardiogram voltage data using a deep neural networkSushravya Raghunath, Alvaro E Ulloa Cerna, Linyuan Jing, et al.Circulation|February 16, 2021
Deep Neural Networks Can Predict New-Onset Atrial Fibrillation From the 12-Lead ECG and Help Identify Those at Risk of Atrial Fibrillation-Related StrokeSushravya Raghunath, John M Pfeifer, Alvaro E Ulloa-Cerna, et al.Pageof 1