AI-powered ECG Analysis for Deadly Arrhythmias and ICI Myocarditis

ELDORA is a non-interventional observational data-science study aiming to develop and validate clinical-grade artificial intelligence tools applied to electrocardiogram (ECG) data. The project will standardize heterogeneous ECGs, create the ECGInsight harmonized database, and train interpretable models for life-threatening arrhythmia risk prediction, especially Torsades-de-Pointes/long QT syndrome and immune checkpoint inhibitor (ICI)-induced myocarditis. The project uses existing and ongoing national and international ECG cohorts with de-identified clinical metadata; AI outputs are intended for research/model development and are not used to drive patient care during the study.

NCT Number	NCT07644715
Lead Sponsor	Groupe Hospitalier Pitie-Salpetriere Collaborators: Institut de Recherche pour le Developpement, Institut National de la Santé Et de la Recherche Médicale, France, Vanderbilt University Medical Center, University of California, San Francisco, University Hospital, Bordeaux, Assistance Publique - Hôpitaux de Paris, Banook Group
Conditions	Arrhythmia, Long QT Syndrome, Immune Checkpoint Inhibitor-Related Myocarditis
Enrollment	127,000 participants
Start Date	2026-01-01
Primary Completion	2029-12-31 (estimated)
Study Completion	2029-12-31 (estimated)
Updated on ClinicalTrials.gov	2026-06-12