[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"health-study-detail:100635674":3},{"organization":4,"armGroups":7,"interventions":20,"overallOfficials":25,"centralContacts":30,"locations":40,"responsibleParty":136,"collaborators":25,"id":139,"slug":140,"hasResults":141,"nctId":142,"briefTitle":143,"officialTitle":144,"acronym":25,"eligibilityCriteria":145,"healthyVolunteers":141,"sex":146,"minAge":147,"maxAge":148,"enrollmentInfo":149,"targetDuration":25,"studyType":152,"phases":153,"briefSummary":155,"conditions":156,"keywords":160,"overallStatus":163,"whyStopped":25,"lastUpdateSubmitDate":164,"lastUpdatePostDateStruct":165,"startDateStruct":168,"completionDateStruct":170,"leadSponsor":172,"locationsCount":173},{"fullName":5,"class":6},"First Affiliated Hospital of Guangxi Medical University","OTHER",[8,14],{"label":9,"type":10,"description":11,"interventionNames":12},"UroMed AI Doctor-Assisted Diagnosis, Treatment and Preoperative Education","EXPERIMENTAL","This arm provides UroMed AI Doctor-assisted clinical care for eligible urological inpatients (18-60 years, kidney stones\u002FBPH\u002Fbladder cancer) meeting inclusion criteria. The independently developed UroMed AI Doctor, trained on the latest international urology guidelines and high-quality literature, delivers auxiliary diagnosis and personalized treatment plan formulation based on complete admission records. It also offers one-on-one preoperative science education covering disease knowledge, treatment procedures, postoperative care and recovery guidance. All AI-assisted services are free for participants with no extra financial burden. Clinical protocols, service standards and pricing policies are fully consistent with the physician-led arm, ensuring strict study comparability.",[13],"Other: UroMed AI Doctor-assisted Urological Diagnosis, Treatment and Preoperative Health Education",{"label":15,"type":16,"description":17,"interventionNames":18},"Traditional Physician-led Diagnosis, Treatment and Preoperative Education","ACTIVE_COMPARATOR","This arm delivers traditional physician-led clinical care for eligible urological inpatients (18-60 years, kidney stones\u002FBPH\u002Fbladder cancer) meeting inclusion criteria. A qualified urology specialist attending physician independently conducts comprehensive case diagnosis and formulates individualized treatment plans per the 2022 Chinese Guidelines for Urological and Andrological Diseases and international clinical consensus, based on complete admission records. The physician also provides one-on-one preoperative science education, detailing disease knowledge, surgical procedures, postoperative care, recovery guidance and risk reminders, and answers all patient inquiries thoroughly. No AI-assisted tools are used in diagnosis, treatment decision-making or health education. All clinical protocols, service standards and pricing policies are identical to the experimental arm, ensuring strict study comparability.",[19],"Other: Physician-led Urological Diagnosis, Treatment & Preoperative Education",[21,26],{"type":6,"name":22,"description":23,"armGroupLabels":24,"otherNames":25},"UroMed AI Doctor-assisted Urological Diagnosis, Treatment and Preoperative Health Education","This urological intervention uses the independently developed UroMed AI Doctor, a urology-specialized large language model system distinct from generic medical AI tools. Trained \\*\\*exclusively\\*\\* on the latest international urology guidelines and high-quality literature, it has a built-in data cleaning system blocking non-standard knowledge sources, eliminating factual deviations and guideline misalignment common in general LLMs. It provides two core AI-assisted services for kidney stone, BPH and bladder cancer inpatients: evidence-based auxiliary diagnosis\u002Ftreatment planning tailored to complete admission records, and personalized one-on-one preoperative health education. Uniquely equipped with ASEAN multilingual interaction and lightweight edge deployment for cross-border use, all AI outputs strictly adhere to urological clinical norms, ensuring professional accuracy and safety unavailable in non-specialized medical AI interventions.",[9],null,{"type":6,"name":27,"description":28,"armGroupLabels":29,"otherNames":25},"Physician-led Urological Diagnosis, Treatment & Preoperative Education","This intervention consists of standard, physician-led urological care without any artificial intelligence support. Qualified urologists independently diagnose and create personalized treatment plans for inpatients with kidney stones, BPH, or bladder cancer, following official clinical guidelines and consensus. One-on-one preoperative education, including disease information, treatment procedures, and postoperative care, is provided directly by attending physicians. This arm represents routine clinical practice, serving as a clear, active comparator to the AI-assisted intervention, ensuring a direct, valid comparison in effectiveness and safety between traditional care and AI-supported care.",[15],[31,36],{"name":32,"role":33,"phone":34,"phoneExt":25,"email":35},"Min Qin, MD","CONTACT","+86 771 5356381","63086204@qq.com",{"name":37,"role":33,"phone":38,"phoneExt":25,"email":39},"Qi Hai Liang, MD","86 18176618137","liahiki@163.com",[41,70,87,100,118],{"facility":42,"status":25,"city":43,"state":44,"zip":45,"country":46,"countryCode":47,"cosmosGeoPoint":48,"geoPoint":53,"contacts":54},"The First Affiliated Hospital of Guangxi Medical University","Nanning","Guangxi","530021","China","CN",{"type":49,"coordinates":50},"Point",[51,52],108.31667,22.81667,{"lat":52,"lon":51},[55,57,58,61,64,66,68,69],{"name":32,"role":33,"phone":56,"phoneExt":25,"email":35},"86 771 5356381",{"name":37,"role":33,"phone":38,"phoneExt":25,"email":39},{"name":59,"role":60,"phone":25,"phoneExt":25,"email":25},"Wen Ji Cheng, MD","PRINCIPAL_INVESTIGATOR",{"name":62,"role":63,"phone":25,"phoneExt":25,"email":25},"Bo Fu Wang, MD","SUB_INVESTIGATOR",{"name":65,"role":63,"phone":25,"phoneExt":25,"email":25},"Yu Tian Li, MD",{"name":67,"role":63,"phone":25,"phoneExt":25,"email":25},"Jian lin Mo, MD",{"name":32,"role":63,"phone":25,"phoneExt":25,"email":25},{"name":37,"role":63,"phone":25,"phoneExt":25,"email":25},{"facility":71,"status":25,"city":72,"state":73,"zip":74,"country":75,"countryCode":76,"cosmosGeoPoint":77,"geoPoint":81,"contacts":82},"Binh Duong General Hospital","Thu Dau Mot","Binh Duong Province","820000","Vietnam","VN",{"type":49,"coordinates":78},[79,80],106.6519,10.9804,{"lat":80,"lon":79},[83],{"name":84,"role":33,"phone":85,"phoneExt":25,"email":86},"Trung Hieu Pham, PhD","+84903165237","drphamtrunghieu@gmail.com",{"facility":88,"status":25,"city":89,"state":89,"zip":25,"country":75,"countryCode":76,"cosmosGeoPoint":90,"geoPoint":94,"contacts":95},"Viet Duc University Hospital","Hanoi",{"type":49,"coordinates":91},[92,93],105.84117,21.0245,{"lat":93,"lon":92},[96],{"name":97,"role":33,"phone":98,"phoneExt":25,"email":99},"Thanh Loan Tran, MD","+84315968714","ttloan@hueuni.edu.vn",{"facility":101,"status":25,"city":102,"state":103,"zip":25,"country":75,"countryCode":76,"cosmosGeoPoint":104,"geoPoint":108,"contacts":109},"Faculty of Medicine, University of Medicine and Pharmacy at Ho Chi Minh City","Ho Chi Minh City","Ho Chi Minh City (Municipality)",{"type":49,"coordinates":105},[106,107],106.62965,10.82302,{"lat":107,"lon":106},[110,114],{"name":111,"role":33,"phone":112,"phoneExt":25,"email":113},"Khoa Hung Nguyen, PhD","+84512365854","nkhung@huemed-univ.edu.vn",{"name":115,"role":33,"phone":116,"phoneExt":25,"email":117},"Dinh Khanh Le, MD","+84314568745","ldkhanh@huemed-univ.edu.vn",{"facility":119,"status":25,"city":120,"state":121,"zip":25,"country":75,"countryCode":76,"cosmosGeoPoint":122,"geoPoint":126,"contacts":127},"Hue Central Hospital","Huế","Thừa Thiên Huế Province",{"type":49,"coordinates":123},[124,125],107.59546,16.4619,{"lat":125,"lon":124},[128,132],{"name":129,"role":33,"phone":130,"phoneExt":25,"email":131},"Nhu Hiep Pham, PhD","+84902453258","phamnhuhiepdr@gmail.com",{"name":133,"role":33,"phone":134,"phoneExt":25,"email":135},"Ngoc Hung Pham, MD","+84805756432","drhungg@gmail.com",{"type":60,"investigatorFullName":137,"investigatorTitle":138,"investigatorAffiliation":5,"oldNameTitle":25,"oldOrganization":25},"Jiwen Cheng","Vice president of the First Affiliated Hospital of Guangxi Medical University","100635674","an-international-multicenter-clinical-study-on-application-of-uromed-ai-doctor-based-on-large-language-models-100635674",false,"NCT07555756","An International Multicenter Clinical Study on Application of UroMed AI Doctor Based on Large Language Models","AN INTERNATIONAL MULTICENTER CLINICAL STUDY ON APPLICATION OF UROMED AI DOCTOR BASED ON LARGE LANGUAGE MODELS","Inclusion Criteria:\n\n* Diagnosed with kidney stones, benign prostatic hyperplasia, or bladder cancer in line with the Chinese Guidelines for the Diagnosis and Treatment of Urological and Andrological Diseases (2022 Edition) and requiring hospitalization for surgery.\n\nAged 18 to 60 years with good communication skills. Voluntarily agrees to participate in the clinical study and has signed the informed consent form.\n\nExclusion Criteria:\n\n* Suffers from psychiatric disorders. Refuses to participate in medical activities involving the use of artificial intelligence systems.\n\nUnable to engage in effective communication with the research team. Has multiple underlying diseases with unstable clinical conditions.","ALL","18 Years","60 Years",{"count":150,"type":151},1080,"ESTIMATED","INTERVENTIONAL",[154],"NA","This study evaluates our team's urology-specific AI (UroMed AI Doctor) for its safety, professionalism, knowledge and Q\\&A ability, and tests its effectiveness against traditional manual urology care, to confirm if it can be a safe auxiliary tool and improve patients' preoperative experience.\n\nBefore the study, we will test the AI with urology questions, compare it to international AI models (DeepSeek, ChatGPT, Google Gemini), and have two senior chief physicians evaluate it.\n\nIn the clinical trial, patients at The First Affiliated Hospital of Guangxi Medical University will be randomly split into two groups: AI-assisted care or traditional care by a specialist.\n\nTwo senior specialists will evaluate both groups blindly; each group will get preoperative education (AI or physician), with anxiety and satisfaction surveyed.\n\nSubsequently, a multi-center validation will be conducted with 11 domestic and international hospitals.",[157,158,159],"Kidney Calculi","Prostatic Hyperplasia","Urinary Bladder Neoplasms",[161,162],"UroMed AI Doctor","Urology","NOT_YET_RECRUITING","2026-04-21",{"date":166,"type":167},"2026-04-29","ACTUAL",{"date":169,"type":151},"2026-05-01",{"date":171,"type":151},"2029-07-31",{"name":5,"class":6},5]