[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"health-study-detail:100609642":3},{"organization":4,"armGroups":7,"interventions":17,"overallOfficials":11,"centralContacts":23,"locations":35,"responsibleParty":52,"collaborators":11,"id":55,"slug":11,"hasResults":56,"nctId":57,"briefTitle":58,"officialTitle":59,"acronym":60,"eligibilityCriteria":61,"healthyVolunteers":56,"sex":62,"minAge":63,"maxAge":64,"enrollmentInfo":65,"targetDuration":11,"studyType":68,"phases":69,"briefSummary":71,"conditions":72,"keywords":11,"overallStatus":38,"whyStopped":11,"lastUpdateSubmitDate":76,"lastUpdatePostDateStruct":77,"startDateStruct":80,"completionDateStruct":82,"leadSponsor":84,"locationsCount":85},{"fullName":5,"class":6},"National Defense Medical Center, Taiwan","OTHER",[8,14],{"label":9,"type":10,"description":11,"interventionNames":12},"AI-ECG prediction","EXPERIMENTAL",null,[13],"Diagnostic Test: AI-ECG driven ECG monitoring",{"label":15,"type":16,"description":11,"interventionNames":11},"Usual care","NO_INTERVENTION",[18],{"type":19,"name":20,"description":21,"armGroupLabels":22,"otherNames":11},"DIAGNOSTIC_TEST","AI-ECG driven ECG monitoring","Participants identified as high-risk for CIED implantation by the AI-ECG system will receive a continuous cardiac rhythm monitor for up to 7 days.",[9],[24,30],{"name":25,"role":26,"phone":27,"phoneExt":28,"email":29},"Chin Lin","CONTACT","+886-2-8792-3100","18574","xup6fup0629@gmail.com",{"name":31,"role":26,"phone":32,"phoneExt":33,"email":34},"Wen-Yu Lin","+886-2-87923311","16118","salmon.lin1019@gmail.com",[36],{"facility":37,"status":38,"city":39,"state":11,"zip":11,"country":40,"countryCode":41,"cosmosGeoPoint":42,"geoPoint":47,"contacts":48},"Tri-Service General Hospital","RECRUITING","Taipei","Taiwan","TW",{"type":43,"coordinates":44},"Point",[45,46],121.52639,25.05306,{"lat":46,"lon":45},[49],{"name":50,"role":26,"phone":32,"phoneExt":11,"email":51},"Yuan-Hao Chen","chenyh178@gmail.com",{"type":53,"investigatorFullName":31,"investigatorTitle":54,"investigatorAffiliation":5,"oldNameTitle":11,"oldOrganization":11},"PRINCIPAL_INVESTIGATOR","Associate Professor","100609642",false,"NCT07217236","Proactive Risk Evaluation for Cardiac Implantable Electronic Device Strategy Using AI-ECG","Evaluation of an Artificial Intelligence-Enhanced Electrocardiogram Strategy Versus Standard Care to Identify Patients Requiring Cardiac Implantable Electronic Devices: A Randomized Controlled Trial","PRECISE-AI","Inclusion Criteria:\n\n* At least one 12-lead ECG within 1 year\n\nExclusion Criteria:\n\n* Diagnosis of sick sinus syndrome\n* Diagnosis of high-grade or complete atrioventricular block\n* Diagnosis of ventricular tachycardia or ventricular fibrillation\n* Post CIED implant\n* Heart rate below 40 beats per minute by 12-lead ECG","ALL","65 Years","90 Years",{"count":66,"type":67},11492,"ESTIMATED","INTERVENTIONAL",[70],"NA","The goal of this clinical trial is to learn whether an artificial intelligence-enhanced electrocardiogram (AI-ECG) strategy improves timely intervention of patients requiring cardiac implantable electronic devices (CIEDs), compared with standard clinical care.",[73,74,75],"Artificial Intelligence (AI)","Cardiac Implantable Electrical Devices","Conduction Disorder of the Heart","2025-12-05",{"date":78,"type":79},"2025-12-12","ACTUAL",{"date":81,"type":79},"2025-11-01",{"date":83,"type":67},"2026-10-31",{"name":5,"class":6},1]