Clinical trial · Interventional
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
- Source
- ClinicalTrials.gov
- Retrieved
- Sep 8, 2026
- Layer
- normalized (units and labels harmonized; values unchanged)
- Run
- ING-CLINICALTRIALS-20260908-000001
Summary
Brief summary (as posted)
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. Before 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. In 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. Two senior specialists will evaluate both groups blindly; each group will get preoperative education (AI or physician), with anxiety and satisfaction surveyed. Subsequently, a multi-center validation will be conducted with 11 domestic and international hospitals.
Conditions
Conditions (3)
Free-text conditions as registered, with the CancerIndex entity they were reconciled to and the match type.
| Condition (as posted) | Mapped entity | Match | Confidence |
|---|---|---|---|
| Kidney Calculi | — | UNRESOLVED | — |
| Prostatic Hyperplasia | Benign Prostatic Hyperplasia | ALIAS | 0.90 |
| Urinary Bladder Neoplasms | Bladder Neoplasm | ALIAS | 0.90 |
Interventions
Interventions (2)
| Intervention | Type | Mapped drug | Match |
|---|---|---|---|
| Physician-led Urological Diagnosis, Treatment & Preoperative Education | Other | — | UNRESOLVED |
| UroMed AI Doctor-assisted Urological Diagnosis, Treatment and Preoperative Health Education | Other | — | UNRESOLVED |
Design
Arms and outcomes
Arms (2)
- type
- EXPERIMENTAL
- label
- UroMed AI Doctor-Assisted Diagnosis, Treatment and Preoperative Education
- description
- This arm provides UroMed AI Doctor-assisted clinical care for eligible urological inpatients (18-60 years, kidney stones/BPH/bladder 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.
- interventionNames
- Other: UroMed AI Doctor-assisted Urological Diagnosis, Treatment and Preoperative Health Education
- type
- ACTIVE_COMPARATOR
- label
- Traditional Physician-led Diagnosis, Treatment and Preoperative Education
- description
- This arm delivers traditional physician-led clinical care for eligible urological inpatients (18-60 years, kidney stones/BPH/bladder 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.
Eligibility
Eligibility (as posted)
- Sex
- All
- Minimum age
- 18 Years
- Maximum age
- 60 Years
Show eligibility criteria text
Inclusion Criteria: * 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. Aged 18 to 60 years with good communication skills. Voluntarily agrees to participate in the clinical study and has signed the informed consent form. Exclusion Criteria: * Suffers from psychiatric disorders. Refuses to participate in medical activities involving the use of artificial intelligence systems. Unable to engage in effective communication with the research team. Has multiple underlying diseases with unstable clinical conditions.
References
Publications (0)
Data not yet available