Condition: Arrhythmia · Long QT Syndrome · Immune Checkpoint Inhibitor-Related Myocarditis · Sponsor: Groupe Hospitalier Pitie-Salpetriere
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.
This description comes directly from the study's public registry record.
Joe-Elie Salem, MD-PhD · 0033142178535 · joe-elie.salem@aphp.fr
Edi Prifti, PhD · +33 1 48 02 55 20 · edi.prifti@ird.fr
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| CIC-2503 | Paris, France | Recruiting |
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Source record: clinicaltrials.gov/study/NCT07644715