[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"health-study-detail:100552534":3},{"organization":4,"armGroups":7,"interventions":19,"overallOfficials":28,"centralContacts":32,"locations":37,"responsibleParty":53,"collaborators":10,"id":55,"slug":56,"hasResults":57,"nctId":58,"briefTitle":59,"officialTitle":60,"acronym":10,"eligibilityCriteria":61,"healthyVolunteers":57,"sex":62,"minAge":63,"maxAge":64,"enrollmentInfo":65,"targetDuration":10,"studyType":68,"phases":10,"briefSummary":69,"conditions":70,"keywords":10,"overallStatus":39,"whyStopped":10,"lastUpdateSubmitDate":72,"lastUpdatePostDateStruct":73,"startDateStruct":76,"completionDateStruct":78,"leadSponsor":80,"locationsCount":81},{"fullName":5,"class":6},"Peking Union Medical College Hospital","OTHER",[8,14],{"label":9,"type":10,"description":11,"interventionNames":12},"detection by artificial intelligence",null,"The patient with bladder lesion confirmed by cystoscopy, these bladder lesion(s) are detected by artificial intelligence algorithm.",[13],"Diagnostic Test: detection by artificial intelligence",{"label":15,"type":10,"description":16,"interventionNames":17},"detection by urologists.","The patient with bladder lesion confirmed by cystoscopy, these bladder lesion(s) are detected by urologist.",[18],"Diagnostic Test: detection by urologists",[20,24],{"type":21,"name":9,"description":22,"armGroupLabels":23,"otherNames":10},"DIAGNOSTIC_TEST","The bladder lesion(s) are detected by artificial intelligence algorithm.",[9],{"type":21,"name":25,"description":26,"armGroupLabels":27,"otherNames":10},"detection by urologists","The bladder lesion(s) are detected by urologists.",[15],[29],{"name":30,"affiliation":5,"role":31},"Zixing Ye","PRINCIPAL_INVESTIGATOR",[33],{"name":30,"role":34,"phone":35,"phoneExt":10,"email":36},"CONTACT","+86-18611385866","yezixing@pumch.cn",[38],{"facility":5,"status":39,"city":40,"state":41,"zip":10,"country":42,"countryCode":43,"cosmosGeoPoint":44,"geoPoint":49,"contacts":50},"RECRUITING","Beijing","Beijing Municipality","China","CN",{"type":45,"coordinates":46},"Point",[47,48],116.39723,39.9075,{"lat":48,"lon":47},[51],{"name":52,"role":34,"phone":35,"phoneExt":10,"email":36},"Zixing Ye, Dr",{"type":54,"investigatorFullName":10,"investigatorTitle":10,"investigatorAffiliation":10,"oldNameTitle":10,"oldOrganization":10},"SPONSOR","100552534","ai-detection-of-bladder-tumors-under-endoscopy-100552534",false,"NCT06474338","AI Detection of Bladder Tumors Under Endoscopy","Artificial Intelligence Detection of Bladder Tumors Under Endoscopy","Inclusion Criteria:\n\nThe patient who receives cystoscopy and the cystoscopy video is available, and one or multiple bladder lesions can be observed in the cystoscopy.\n\nExclusion Criteria:\n\nThe patient whose cystoscopy is not clear enough to analyze.","ALL","18 Years","100 Years",{"count":66,"type":67},1000,"ESTIMATED","OBSERVATIONAL","The goal of this clinical trial is to learn if the AI algorithm can detect bladder tumors better than urologists under cystoscopy. It will also train the AI algorithm for bladder tumor detection. The main question it aims to answer is:\n\nCan AI algorithm achieve IOU value, precision, recall, false negative rate of bladder tumor detection similar to that of urologists? The cystoscopy video will be annotated by AI and urologists. Researchers will compare AI algorithm to urologists to see if Al algorithm has a similar capability as urologists do.",[71],"Bladder Tumor","2024-06-19",{"date":74,"type":75},"2024-06-25","ACTUAL",{"date":77,"type":75},"2024-01-01",{"date":79,"type":67},"2034-12-31",{"name":5,"class":6},1]