[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"health-study-detail:100614041":3},{"organization":4,"armGroups":7,"interventions":10,"overallOfficials":10,"centralContacts":13,"locations":19,"responsibleParty":36,"collaborators":10,"id":39,"slug":40,"hasResults":41,"nctId":42,"briefTitle":43,"officialTitle":43,"acronym":10,"eligibilityCriteria":44,"healthyVolunteers":41,"sex":45,"minAge":46,"maxAge":10,"enrollmentInfo":47,"targetDuration":10,"studyType":50,"phases":10,"briefSummary":51,"conditions":52,"keywords":10,"overallStatus":22,"whyStopped":10,"lastUpdateSubmitDate":54,"lastUpdatePostDateStruct":55,"startDateStruct":58,"completionDateStruct":60,"leadSponsor":62,"locationsCount":63},{"fullName":5,"class":6},"Union Hospital, Tongji Medical College, Huazhong University of Science and Technology","OTHER",[8,11],{"label":9,"type":10,"description":10,"interventionNames":10},"scanning using AI-based cardiac MRI sequences",null,{"label":12,"type":10,"description":10,"interventionNames":10},"scanning using non-AI cardiac MRI sequences",[14],{"name":15,"role":16,"phone":17,"phoneExt":10,"email":18},"Lian Yang","CONTACT","18986273791","yanglian@hust.edu.cn",[20],{"facility":21,"status":22,"city":23,"state":24,"zip":25,"country":26,"countryCode":27,"cosmosGeoPoint":28,"geoPoint":33,"contacts":34},"Union Hospital，Tongji Medical College，Huazhong University of Science and Technology","RECRUITING","Wuhan","Hubei","430000","China","CN",{"type":29,"coordinates":30},"Point",[31,32],114.26667,30.58333,{"lat":32,"lon":31},[35],{"name":15,"role":16,"phone":17,"phoneExt":10,"email":18},{"type":37,"investigatorFullName":15,"investigatorTitle":38,"investigatorAffiliation":5,"oldNameTitle":10,"oldOrganization":10},"SPONSOR_INVESTIGATOR","Director","100614041","the-clinical-value-of-deep-learning-based-reconstruction-techniques-in-cardiac-mri-scanning-100614041",false,"NCT07274436","The Clinical Value of Deep Learning-Based Reconstruction Techniques in Cardiac MRI Scanning","Inclusion Criteria:\n\n1. Patients requiring cardiac MRI in clinical practice;\n2. Patient age ≥ 18 years;\n3. The patient has signed an informed consent form.\n\nExclusion Criteria:\n\n1. Patients with contraindications to magnetic resonance imaging;\n2. Patients who failed to complete the MRI examination or whose image quality was inadequate for diagnostic requirements;\n3. Other circumstances deemed by clinical trial personnel as unsuitable for participation in this trial;\n4. Subjects or their legal guardians voluntarily requesting to withdraw.","ALL","18 Years",{"count":48,"type":49},50,"ESTIMATED","OBSERVATIONAL","By enrolling patients who underwent cardiac MR(Magnetic Resonance) examinations at our center and using randomized allocation, the patients were divided into a study group and a control group. The study group underwent scanning using AI-based(Artificial Intelligence-based) cardiac MRI(Magnetic Resonance Imaging) sequences, while the control group was scanned using non-AI cardiac MRI sequences",[53],"Cardiac Disease","2025-11-27",{"date":56,"type":57},"2025-12-10","ACTUAL",{"date":59,"type":57},"2025-08-01",{"date":61,"type":49},"2026-08-01",{"name":15,"class":6},1]