[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"health-study-detail:100599061":3},{"organization":4,"armGroups":7,"interventions":19,"overallOfficials":25,"centralContacts":29,"locations":36,"responsibleParty":51,"collaborators":18,"id":55,"slug":18,"hasResults":56,"nctId":57,"briefTitle":58,"officialTitle":59,"acronym":60,"eligibilityCriteria":61,"healthyVolunteers":56,"sex":62,"minAge":63,"maxAge":64,"enrollmentInfo":65,"targetDuration":18,"studyType":68,"phases":69,"briefSummary":71,"conditions":72,"keywords":76,"overallStatus":39,"whyStopped":18,"lastUpdateSubmitDate":81,"lastUpdatePostDateStruct":82,"startDateStruct":85,"completionDateStruct":87,"leadSponsor":89,"locationsCount":90},{"fullName":5,"class":6},"National Defense Medical Center, Taiwan","OTHER",[8,14],{"label":9,"type":10,"description":11,"interventionNames":12},"AI-ECG guidance","EXPERIMENTAL","Participants in this arm undergo screening using the AI-ECG system. Those identified as high-risk for pulmonary hypertension receive echocardiography to confirm the diagnosis and guide subsequent management.",[13],"Diagnostic Test: AI-ECG Guidance",{"label":15,"type":16,"description":17,"interventionNames":18},"Standard clinical care","NO_INTERVENTION","Participants in this arm are screened using the AI-ECG system, but diagnosis and management follow the usual clinical practice without echocardiography.",null,[20],{"type":21,"name":22,"description":23,"armGroupLabels":24,"otherNames":18},"DIAGNOSTIC_TEST","AI-ECG Guidance","Participants undergo screening using the AI-ECG system. Those identified as high-risk for pulmonary hypertension receive echocardiography to confirm the diagnosis and guide subsequent management.",[9],[26],{"name":27,"affiliation":5,"role":28},"Chin Lin, associate professor","STUDY_DIRECTOR",[30],{"name":31,"role":32,"phone":33,"phoneExt":34,"email":35},"Chin Lin, Associate Professor","CONTACT","886+2-87923311","16118","up6fup0629@gmail.com",[37],{"facility":38,"status":39,"city":40,"state":18,"zip":18,"country":41,"cosmosGeoPoint":42,"geoPoint":47,"contacts":48},"National Defense Medical Center","RECRUITING","Taipei","Taiwan",{"type":43,"coordinates":44},"Point",[45,46],121.52639,25.05306,{"lat":46,"lon":45},[49],{"name":18,"role":32,"phone":50,"phoneExt":34,"email":35},"886+287923311",{"type":52,"investigatorFullName":53,"investigatorTitle":54,"investigatorAffiliation":5,"oldNameTitle":18,"oldOrganization":18},"PRINCIPAL_INVESTIGATOR","Pang-Yen, Liu","Assistant professor","100599061",false,"NCT07079592","A Deep-Learning-Enabled Electrocardiogram for Detecting Pulmonary Hypertension","A Deep-Learning-Enabled Electrocardiogram for Detecting Pulmonary Hypertension: A Randomized Controlled Trial","ADDPH","Inclusion Criteria:\n\n* Men or women, ≥ 50 to 85 years of age\n* At least one 12-lead ECG within 3 months\n\nExclusion Criteria:\n\n* A diagnosis of PH WHO Groups 1, 2, 3, 4, or 5\n* A diagnosis of hypertrophic cardiomyopathy, restrictive cardiomyopathy, constrictive pericarditis, cardiac amyloidosis, or infiltrative cardiomyopathy\n* Prior heart, lung, or heart-lung transplants\n* Any systolic pulmonary artery pressure \\>50 mmHg by echocardiography before\n* Echocardiography in 3 months before index ECG","ALL","50 Years","85 Years",{"count":66,"type":67},8666,"ESTIMATED","INTERVENTIONAL",[70],"NA","This study aims to validate the use of an artificial intelligence-enabled electrocardiogram (AI-ECG) to screen for elevated PAP. We hypothesize that the AI-ECG model can early identify patients with pulmonary hypertension in high-risk patients, prompting further evaluation through echocardiography, potentially resulting in improving cardiovascular outcomes.",[73,74,75],"Artificial Intelligence (AI)","Artificial Intelligence (AI) in Diagnosis","Hypertension, Pulmonary",[77,78,79,80],"Artificial intelligence","electrocardiogram","deep learning","pulmonary hypertension","2026-02-23",{"date":83,"type":84},"2026-02-24","ACTUAL",{"date":86,"type":67},"2026-02",{"date":88,"type":67},"2026-06-15",{"name":5,"class":6},1]