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AI-powered ECG Analysis for Deadly Arrhythmias and ICI Myocarditis

NCT07644715 · Status: RECRUITING · Type: OBSERVATIONAL · Enrollment: 127000

Last updated 2026-06-12

No results posted yet for this study

Summary

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.

Conditions

  • Arrhythmia
  • Long QT Syndrome
  • Immune Checkpoint Inhibitor-Related Myocarditis

Sponsors & Collaborators

  • Institut de Recherche pour le Developpement

    collaborator OTHER_GOV

  • Institut National de la Santé Et de la Recherche Médicale, France

    collaborator OTHER_GOV

  • Vanderbilt University Medical Center

    collaborator OTHER

  • University of California, San Francisco

    collaborator OTHER

  • University Hospital, Bordeaux

    collaborator OTHER

  • Assistance Publique - Hôpitaux de Paris

    collaborator OTHER

  • Banook Group

    collaborator INDUSTRY

  • Groupe Hospitalier Pitie-Salpetriere

    lead OTHER

Eligibility

Sex
ALL
Healthy Volunteers
Yes

Timeline & Regulatory

Start
2026-01-01
Primary Completion
2029-12-31
Completion
2029-12-31

Countries

  • France

Study Locations

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Diseases
Companies

Read the full study record

This page highlights key information. For complete eligibility criteria, study locations, investigator contacts, and the full protocol, visit the original record on ClinicalTrials.gov.

View NCT07644715 on ClinicalTrials.gov