[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"health-studies-list:{\"overallStatus\":[\"RECRUITING\",\"AVAILABLE\",\"NOT_YET_RECRUITING\"],\"leadSponsorName\":\"Toho University\",\"orderBy\":\"LastUpdateSubmitDate:desc\",\"size\":25,\"offset\":0}":3,"health-study-condition:":60},{"pageToken":4,"total":5,"offset":6,"count":5,"results":7},null,2,0,[8,40],{"id":9,"slug":10,"hasResults":11,"nctId":12,"briefTitle":13,"officialTitle":14,"acronym":4,"eligibilityCriteria":15,"healthyVolunteers":11,"sex":16,"minAge":17,"maxAge":18,"enrollmentInfo":19,"targetDuration":22,"studyType":23,"phases":4,"briefSummary":24,"conditions":25,"keywords":4,"overallStatus":27,"whyStopped":4,"lastUpdateSubmitDate":28,"lastUpdatePostDateStruct":29,"startDateStruct":32,"completionDateStruct":34,"leadSponsor":36,"locationsCount":39},"100617254","evaluating-the-accuracy-and-practical-utility-of-ai-enhanced-12-lead-ecg-100617254",false,"NCT07316231","Evaluating the Accuracy and Practical Utility of AI-Enhanced 12-Lead ECG","Toho Multicenter Registry for Evaluating the Accuracy and Practical Utility of AI-Enhanced 12-Lead ECG in Monitoring Atrial Fibrillation","Inclusion Criteria\n\n1. Age ≥18 years\n2. Patients with atrial fibrillation or atrial tachycardia (AF\u002FAT) in whom sinus rhythm is maintained or can be confirmed at the time of ECG recording\n\nExclusion Criteria\n\n1. Age \\\u003C18 years\n2. History of long-standing persistent or permanent atrial fibrillation\n3. Frequent premature beats preventing acquisition of a sinus rhythm ECG\n4. Patients with no clinical indication to suspect atrial fibrillation","ALL","18 Years","99 Years",{"count":20,"type":21},350,"ESTIMATED","2 Years","OBSERVATIONAL","Atrial fibrillation (AF) is a major cause of heart failure and ischemic stroke, making early detection and intervention critically important. However, timely ECG recording during paroxysmal episodes is often difficult, leading to delayed diagnosis. Recently, an AI-enhanced 12-lead ECG equipped with a \"hidden AF risk estimation\" function has been introduced. This technology analyzes sinus rhythm ECGs and stratifies the likelihood of prior AF into four risk categories. Although this novel approach may facilitate earlier AF detection and optimize the timing of therapeutic intervention, its clinical accuracy and real-world utility remain insufficiently validated. Therefore, this multicenter study aims to evaluate the diagnostic performance and clinical usefulness of AI-based AF risk assessment and to clarify its association with subsequent AF incidence and patient outcomes.",[26],"AI-enhanced 12-lead ECG","RECRUITING","2026-01-02",{"date":30,"type":31},"2026-01-07","ACTUAL",{"date":33,"type":31},"2025-09-11",{"date":35,"type":21},"2028-08-31",{"name":37,"class":38},"Toho University","OTHER",1,{"id":41,"slug":42,"hasResults":11,"nctId":43,"briefTitle":44,"officialTitle":45,"acronym":4,"eligibilityCriteria":46,"healthyVolunteers":11,"sex":16,"minAge":17,"maxAge":4,"enrollmentInfo":47,"targetDuration":48,"studyType":23,"phases":4,"briefSummary":49,"conditions":50,"keywords":4,"overallStatus":27,"whyStopped":4,"lastUpdateSubmitDate":52,"lastUpdatePostDateStruct":53,"startDateStruct":55,"completionDateStruct":57,"leadSponsor":59,"locationsCount":39},"100588110","evaluation-of-valvular-heart-disease-using-cardiac-ct-100588110","NCT06937125","Evaluation of Valvular Heart Disease Using Cardiac CT","Evaluation of Valvular Heart Disease: Multicenter Registry of Noninvasive Imaging Modalities by Cardiac CT","Inclusion Criteria:\n\n* Patients with at least moderate valvular heart disease who had a cardiac CT with 64 or more rows\n* 18 years of age or older\n\nExclusion Criteria:\n\n* Less than 18 years old\n* Acute VHD\n* Infectious endocarditis\n* Patients with post-VHD intervention\n* Poor CT image quality for analyzing CT data.",{"count":20,"type":21},"1 Year","The EVIDENTIA Registry is a multicenter study designed to evaluate valvular heart disease (VHD) using cardiac CT. It aims to assess cardiac valve anatomy, function, and myocardial characteristics through detailed CT analysis.\n\n1. Assessing the accuracy of cardiac CT in evaluating cardiac structure, volume, function, and myocardium in VHD patients.\n2. Comparing the severity, classification, and etiology (primary vs. functional) of VHD.\n3. Monitoring serial changes in VHD severity via echocardiography.\n4. Investigating the relationship between echocardiographic and CT-derived parameters.\n5. Examining the correlation between imaging findings, VHD interventions, and patient prognosis.",[51],"Valvular Heart Disease","2025-05-11",{"date":54,"type":31},"2025-05-14",{"date":56,"type":31},"2025-03-12",{"date":58,"type":21},"2028-03",{"name":37,"class":38},""]