[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"health-study-detail:100643552":3},{"organization":4,"armGroups":7,"interventions":14,"overallOfficials":10,"centralContacts":19,"locations":25,"responsibleParty":40,"collaborators":44,"id":48,"slug":49,"hasResults":50,"nctId":51,"briefTitle":52,"officialTitle":53,"acronym":10,"eligibilityCriteria":54,"healthyVolunteers":50,"sex":55,"minAge":56,"maxAge":10,"enrollmentInfo":57,"targetDuration":60,"studyType":61,"phases":10,"briefSummary":62,"conditions":63,"keywords":65,"overallStatus":27,"whyStopped":10,"lastUpdateSubmitDate":70,"lastUpdatePostDateStruct":71,"startDateStruct":74,"completionDateStruct":76,"leadSponsor":78,"locationsCount":79},{"fullName":5,"class":6},"Ajou University School of Medicine","OTHER",[8],{"label":9,"type":10,"description":11,"interventionNames":12},"Adults aged ≥19 years with ECG and echocardiography performed within 30 days",null,"Adult patients aged 19 years or older who underwent both transthoracic echocardiography and electrocardiography (ECG) within 30 days of each other",[13],"Other: None-placebo",[15],{"type":6,"name":16,"description":17,"armGroupLabels":18,"otherNames":10},"None-placebo","There is no intervention group",[9],[20],{"name":21,"role":22,"phone":23,"phoneExt":10,"email":24},"MOONSEUNG SOH, MD","CONTACT","+82-31-219-5111","mssoh7701@gmail.com",[26],{"facility":5,"status":27,"city":28,"state":29,"zip":30,"country":31,"countryCode":10,"cosmosGeoPoint":32,"geoPoint":37,"contacts":38},"RECRUITING","Suwon","Gyeonggi-do","16499","South Korea",{"type":33,"coordinates":34},"Point",[35,36],127.00889,37.29111,{"lat":36,"lon":35},[39],{"name":21,"role":22,"phone":23,"phoneExt":10,"email":24},{"type":41,"investigatorFullName":42,"investigatorTitle":43,"investigatorAffiliation":5,"oldNameTitle":10,"oldOrganization":10},"PRINCIPAL_INVESTIGATOR","Moon-Seung Soh","Assistant Professor",[45],{"name":46,"class":47},"VUNO Inc.","INDUSTRY","100643552","ai-ecg-algorithm-for-detecting-lv-systolic-dysfunction-100643552",false,"NCT07636759","AI ECG Algorithm for Detecting LV Systolic Dysfunction","Prospective Observational Cohort Study of Deep Learning-based ECG Algorithm for Detecting Left Ventricular Systolic Dysfunction","Inclusion Criteria:\n\n* Adults aged ≥19 years.\n* Patients who underwent both transthoracic echocardiography and 12-lead electrocardiography (ECG) at Ajou University Hospital in the outpatient, inpatient, or emergency department setting.\n* ECG and echocardiography performed within 30 days of each other.\n\nExclusion Criteria:\n\n* Interval between ECG and echocardiography greater than 30 days.\n* Missing or corrupted original ECG waveform data (XML or HL7 format).\n* Presence of an implanted cardiac device, including a permanent pacemaker, implantable cardioverter-defibrillator (ICD), or cardiac resynchronization therapy (CRT) device.\n* Missing age, sex, or left ventricular ejection fraction (LVEF) data.","ALL","19 Years",{"count":58,"type":59},15000,"ESTIMATED","1 Month","OBSERVATIONAL","This prospective observational cohort study aims to evaluate the clinical performance of a deep learning-based electrocardiography (ECG) algorithm (DeepECG LVSD) for detecting left ventricular systolic dysfunction (LVSD), defined as left ventricular ejection fraction (LVEF) ≤40%, using transthoracic echocardiography as the reference standard. Approximately 15,000 adult patients undergoing both ECG and echocardiography within 30 days at Ajou University Hospital will be enrolled. Diagnostic performance will be assessed using the area under the receiver operating characteristic curve (AUROC), sensitivity, specificity, positive predictive value, negative predictive value, and accuracy. Secondary analyses will evaluate the association between AI-predicted LVSD and 30-day clinical outcomes, including all-cause mortality, emergency department visits, and heart failure rehospitalization.",[64],"HF - Heart Failure",[66,67,68,69],"Heart failure","ECG","Artificial Intelligence","Deep Learning","2026-06-08",{"date":72,"type":73},"2026-06-10","ACTUAL",{"date":75,"type":73},"2026-01-01",{"date":77,"type":59},"2027-12-31",{"name":5,"class":6},1]