[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"health-study-detail:100599061":3},{"organization":4,"armGroups":7,"interventions":19,"overallOfficials":25,"centralContacts":29,"locations":36,"responsibleParty":52,"collaborators":18,"id":56,"slug":57,"hasResults":58,"nctId":59,"briefTitle":60,"officialTitle":61,"acronym":62,"eligibilityCriteria":63,"healthyVolunteers":58,"sex":64,"minAge":65,"maxAge":66,"enrollmentInfo":67,"targetDuration":18,"studyType":70,"phases":71,"briefSummary":73,"conditions":74,"keywords":78,"overallStatus":39,"whyStopped":18,"lastUpdateSubmitDate":83,"lastUpdatePostDateStruct":84,"startDateStruct":87,"completionDateStruct":89,"leadSponsor":91,"locationsCount":92},{"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,"countryCode":42,"cosmosGeoPoint":43,"geoPoint":48,"contacts":49},"National Defense Medical Center","RECRUITING","Taipei","Taiwan","TW",{"type":44,"coordinates":45},"Point",[46,47],121.52639,25.05306,{"lat":47,"lon":46},[50],{"name":18,"role":32,"phone":51,"phoneExt":34,"email":35},"886+287923311",{"type":53,"investigatorFullName":54,"investigatorTitle":55,"investigatorAffiliation":5,"oldNameTitle":18,"oldOrganization":18},"PRINCIPAL_INVESTIGATOR","Pang-Yen, Liu","Assistant professor","100599061","a-deep-learning-enabled-electrocardiogram-for-detecting-pulmonary-hypertension-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":68,"type":69},8666,"ESTIMATED","INTERVENTIONAL",[72],"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.",[75,76,77],"Artificial Intelligence (AI)","Artificial Intelligence (AI) in Diagnosis","Hypertension, Pulmonary",[79,80,81,82],"Artificial intelligence","electrocardiogram","deep learning","pulmonary hypertension","2026-02-23",{"date":85,"type":86},"2026-02-24","ACTUAL",{"date":88,"type":69},"2026-02",{"date":90,"type":69},"2026-06-15",{"name":5,"class":6},1]