[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"health-study-detail:100642535":3},{"organization":4,"armGroups":7,"interventions":10,"overallOfficials":10,"centralContacts":12,"locations":22,"responsibleParty":36,"collaborators":40,"id":57,"slug":58,"hasResults":59,"nctId":60,"briefTitle":61,"officialTitle":62,"acronym":63,"eligibilityCriteria":64,"healthyVolunteers":65,"sex":66,"minAge":10,"maxAge":10,"enrollmentInfo":67,"targetDuration":10,"studyType":70,"phases":10,"briefSummary":71,"conditions":72,"keywords":76,"overallStatus":25,"whyStopped":10,"lastUpdateSubmitDate":81,"lastUpdatePostDateStruct":82,"startDateStruct":85,"completionDateStruct":87,"leadSponsor":89,"locationsCount":90},{"fullName":5,"class":6},"Groupe Hospitalier Pitie-Salpetriere","OTHER",[8],{"label":9,"type":10,"description":11,"interventionNames":10},"A unified dataset (ECGinsight) comprising at least 10 millions ECG",null,"A unified dataset (ECGinsight) comprising at least 10 millions ECG spanning from multiple international setting and including healthy volunteers, LQT\u002FTdP, cancer\u002FICI myocarditis, heart transplant, diabetes, obesity, hormonal and patients with cardiovascular comorbidities and events",[13,18],{"name":14,"role":15,"phone":16,"phoneExt":10,"email":17},"Joe-Elie Salem, MD-PhD","CONTACT","0033142178535","joe-elie.salem@aphp.fr",{"name":19,"role":15,"phone":20,"phoneExt":10,"email":21},"Edi Prifti, PhD","+33 1 48 02 55 20","edi.prifti@ird.fr",[23],{"facility":24,"status":25,"city":26,"state":10,"zip":27,"country":28,"countryCode":29,"cosmosGeoPoint":30,"geoPoint":35,"contacts":10},"CIC-2503","RECRUITING","Paris","75013","France","FR",{"type":31,"coordinates":32},"Point",[33,34],2.3488,48.85341,{"lat":34,"lon":33},{"type":37,"investigatorFullName":38,"investigatorTitle":39,"investigatorAffiliation":5,"oldNameTitle":10,"oldOrganization":10},"PRINCIPAL_INVESTIGATOR","Joe Elie Salem","Clinical Professor, Clinical Investigation Center Paris Est",[41,44,46,48,50,52,54],{"name":42,"class":43},"Institut de Recherche pour le Developpement","OTHER_GOV",{"name":45,"class":43},"Institut National de la Santé Et de la Recherche Médicale, France",{"name":47,"class":6},"Vanderbilt University Medical Center",{"name":49,"class":6},"University of California, San Francisco",{"name":51,"class":6},"University Hospital, Bordeaux",{"name":53,"class":6},"Assistance Publique - Hôpitaux de Paris",{"name":55,"class":56},"Banook Group","INDUSTRY","100642535","ai-powered-ecg-analysis-for-deadly-arrhythmias-and-ici-myocarditis-100642535",false,"NCT07644715","AI-powered ECG Analysis for Deadly Arrhythmias and ICI Myocarditis","Efficient Deep Learning Approaches for the Rapid and Interpretable Detection of Deadly Arrhythmias in ECG Data","ELDORA","Inclusion Criteria:\n\n* subjects included in participating existing or ongoing ECG cohorts made available to ECGInsight\n* availability of ECG data (digital waveform or scanned\u002Fpaper ECG suitable for digitization) and relevant clinical\u002Fdemographic metadata\n* data use permitted by applicable ethical, regulatory, contractual and GDPR requirements.\n\nExclusion Criteria:\n\n* datasets or individual records for which required approvals, data-sharing agreements, de-identification\u002Fanonymization, or minimum ECG\u002Fmetadata quality requirements are not met. No interventional study treatment is assigned.",true,"ALL",{"count":68,"type":69},127000,"ESTIMATED","OBSERVATIONAL","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\u002Flong 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\u002Fmodel development and are not used to drive patient care during the study.",[73,74,75],"Arrhythmia","Long QT Syndrome","Immune Checkpoint Inhibitor-Related Myocarditis",[77,78,79,80],"ECG","AI","Immune Checkpoint Inhibitors-Related Myocarditis","long QT","2026-06-08",{"date":83,"type":84},"2026-06-12","ACTUAL",{"date":86,"type":84},"2026-01-01",{"date":88,"type":69},"2029-12-31",{"name":5,"class":6},1]