Gilbert Jabbour

A unified 12-lead ECG-language model for interpretation and clinical-endpoint prediction

Rohan Banerjee, Juliette Beaulieu, Nicolas Dostie, B Mondesert et autres

ca (code pays fourni par la source)

Foundation models for electrocardiogram interpretation: clinical implications

Alexis Nolin-Lapalme, A. Sowa, Jacques Delfrate, Olivier Tastet et autres

ca, us (code pays fourni par la source)

DeepECG-SSL: A foundational artificial intelligence multi-task ECG model leveraging self-supervised learning for enhanced cardiovascular disease prediction

Alexis Nolin-Lapalme, A. Sowa, Jacques Delfrate, Olivier Tastet et autres

Polygenic risk scores in arrhythmia prediction: Toward integrative models

Gilbert Jabbour, Rafik Tadros

ca (code pays fourni par la source)

Foundation models for generalizable electrocardiogram interpretation: comparison of supervised and self-supervised electrocardiogram foundation models

Alexis Nolin-Lapalme, A. Sowa, Jacques Delfrate, Olivier Tastet et autres

ca, us (code pays fourni par la source)

What the blood knows: predicting atrial fibrillation risk in hypertrophic cardiomyopathy patients

Gilbert Jabbour, Rafik Tadros, Carol Ann Remme

ca, nl (code pays fourni par la source)

Prediction of incident atrial fibrillation using deep learning, clinical models, and polygenic scores

Gilbert Jabbour, Alexis Nolin-Lapalme, Olivier Tastet, Denis Corbin et autres

ca, us (code pays fourni par la source)

Innovative approaches to atrial fibrillation prediction: should polygenic scores and machine learning be implemented in clinical practice?

Adrian Petzl, Gilbert Jabbour, Julia Cadrin‐Tourigny, Helmut Pürerfellner et autres

ca, at (code pays fourni par la source)

The involvement of clinicians in the most highly cited publications on artificial intelligence in ophthalmology indexed journals

Anne Xuan-Lan Nguyen, Maxine Joly-Chevrier, Mélanie Hébert, Gilbert Jabbour et autres

ca, us (code pays fourni par la source)