[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"health-study-detail:100631174":3},{"organization":4,"armGroups":7,"interventions":19,"overallOfficials":10,"centralContacts":26,"locations":32,"responsibleParty":80,"collaborators":10,"id":82,"slug":10,"hasResults":83,"nctId":84,"briefTitle":85,"officialTitle":86,"acronym":10,"eligibilityCriteria":87,"healthyVolunteers":88,"sex":89,"minAge":10,"maxAge":10,"enrollmentInfo":90,"targetDuration":93,"studyType":94,"phases":10,"briefSummary":95,"conditions":96,"keywords":98,"overallStatus":103,"whyStopped":10,"lastUpdateSubmitDate":104,"lastUpdatePostDateStruct":105,"startDateStruct":108,"completionDateStruct":110,"leadSponsor":112,"locationsCount":113},{"fullName":5,"class":6},"Union Hospital, Tongji Medical College, Huazhong University of Science and Technology","OTHER",[8,14],{"label":9,"type":10,"description":11,"interventionNames":12},"Radiologist diagnostic group",null,"After the patient undergoes an X-ray examination, a radiologist generates the report and makes the diagnosis.",[13],"Diagnostic Test: Radiologist diagnostic group",{"label":15,"type":10,"description":16,"interventionNames":17},"AI-assisted radiologist diagnostic group","After the patient undergoes an X-ray examination, an AI-assisted radiologist generates the report and makes the diagnosis.",[18],"Diagnostic Test: AI-assisted radiologist diagnostic group",[20,24],{"type":21,"name":15,"description":22,"armGroupLabels":23,"otherNames":10},"DIAGNOSTIC_TEST","Based on the previously developed X-ray image diagnosis and report generation model, radiologists are assisted in interpreting X-ray images and generating reports.",[15],{"type":21,"name":9,"description":11,"armGroupLabels":25,"otherNames":10},[9],[27],{"name":28,"role":29,"phone":30,"phoneExt":10,"email":31},"Huangxuan Zhao, PhD","CONTACT","18971676985","zhao_huangxuan@sina.com",[33,51,59,67],{"facility":34,"status":10,"city":35,"state":36,"zip":37,"country":38,"countryCode":39,"cosmosGeoPoint":40,"geoPoint":45,"contacts":46},"Wuhan Union Hospital","Wuhan","Hubei","430022","China","CN",{"type":41,"coordinates":42},"Point",[43,44],114.26667,30.58333,{"lat":44,"lon":43},[47],{"name":48,"role":29,"phone":49,"phoneExt":10,"email":50},"Lei Chen, MD","15971480677","chan0812@126.com",{"facility":52,"status":10,"city":35,"state":36,"zip":37,"country":38,"countryCode":39,"cosmosGeoPoint":53,"geoPoint":55,"contacts":56},"Wuhan Union Jinyin Lake Hospital",{"type":41,"coordinates":54},[43,44],{"lat":44,"lon":43},[57],{"name":58,"role":29,"phone":49,"phoneExt":10,"email":50},"Lei Chen",{"facility":60,"status":10,"city":35,"state":36,"zip":37,"country":38,"countryCode":39,"cosmosGeoPoint":61,"geoPoint":63,"contacts":64},"Wuhan Union West Hospital",{"type":41,"coordinates":62},[43,44],{"lat":44,"lon":43},[65],{"name":66,"role":29,"phone":30,"phoneExt":10,"email":31},"Huangxuan Zhao",{"facility":68,"status":10,"city":69,"state":10,"zip":10,"country":38,"countryCode":39,"cosmosGeoPoint":70,"geoPoint":74,"contacts":75},"The First Affiliated Hospital of Zhengzhou University","Zhengzhou",{"type":41,"coordinates":71},[72,73],113.64861,34.75778,{"lat":73,"lon":72},[76],{"name":77,"role":29,"phone":78,"phoneExt":10,"email":79},"Huangxuan Duan","13209867189","xuhuaduan2023@126.com",{"type":81,"investigatorFullName":10,"investigatorTitle":10,"investigatorAffiliation":10,"oldNameTitle":10,"oldOrganization":10},"SPONSOR","100631174",false,"NCT07497243","X-ray Assisted Diagnostic System","Construction and Clinical Application of an X-ray AI-Aided Diagnosis System: A Randomized Controlled Trial","Inclusion Criteria:\n\n* Clinically suspected thoracic diseases (such as pneumonia, tuberculosis, or lung cancer) requiring X-ray diagnosis；\n* Patients providing written informed consent for research data use；\n* Complete clinical records (including chief complaints, medical history, and laboratory test results)\n\nExclusion Criteria:\n\n* Substandard X-ray image quality (including severe motion artifacts, over-\u002Funderexposure, or missing anatomical structures)\n* Pregnant or lactating women",true,"ALL",{"count":91,"type":92},16000,"ESTIMATED","4 Weeks","OBSERVATIONAL","X-ray examination is one of the most commonly used imaging modalities, especially chest X-ray, which is routinely performed for hospitalized patients. However, due to the low density resolution of X-ray images, radiologists' ability to diagnose diseases-particularly small lesions-is often affected. Studies have shown that the diagnostic accuracy of radiologists using chest X-rays is only around 70%, which does not meet clinical demands.\n\nBased on this, we developed an artificial intelligence model to assist radiologists in interpreting X-ray images and generating reports, with the aim of improving diagnostic accuracy and reducing interpretation time.",[97],"Chest X-ray for Clinical Evaluation",[99,100,101,102],"X-Ray","AI","Chest diseases","Accuracy","NOT_YET_RECRUITING","2026-03-22",{"date":106,"type":107},"2026-03-27","ACTUAL",{"date":109,"type":92},"2026-05-01",{"date":111,"type":92},"2026-11-30",{"name":5,"class":6},4]