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AI-powered ECG Analysis for Deadly Arrhythmias and ICI Myocarditis

Study acronym: ELDORA
StatusRecruiting
PhaseNot specified
Started
View on ClinicalTrials.gov ↗

Record History

  1. Study First Submitted
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.
Trial Details
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
(from sponsor)		 Arrhythmia, Long QT Syndrome, Immune Checkpoint Inhibitor-Related Myocarditis
Related terms Arrhythmias, Cardiac, Long QT Syndrome
Enrollment 127,000 participants
Start Date
Primary Completion (estimated)
Study Completion (estimated)
Updated on ClinicalTrials.gov