AI assistant to support doctors with urinary stones, prostate cancer and bladder cancer
Develops an AI assistant called UroAgent to help doctors diagnose urological disease.
Plain-language title generated from the registry record
Registry title: Development of an AI-Agent for Urological Disease Diagnosis and Treatment
Key facts
- Where
- Ganzhou, Guangzhou, and Shantou, ChinaSee the 3 sites
Where in China
- Ganzhou People's HospitalGanzhou, ChinaTaking people
- Sun Yat-sen Memorial Hospital, Sun Yat-sen UniversityGuangzhou, ChinaTaking people
- Shenshan Medical Center, Sun Yat-sen Memorial Hospital, Sun Yat-sen UniversityShantou, ChinaTaking people
Questions to ask the study team
- How often do I need to come in, and for how long each time?
- Are travel costs paid?
- Can I keep my own doctor?
- What happens if I want to stop?
Trial details
- Who runs it
- Sun Yat-Sen Memorial Hospital of Sun Yat-Sen University
- Trial code
- NCT07721935
- Record updated
- 23 July 2026
- Original description
Urological diseases such as urinary stones, prostate cancer, and bladder cancer are very common and often require highly specialized diagnosis and treatment. Today, the quality of care can vary between doctors, and there are not enough urology specialists to meet patient demand. Artificial intelligence (AI) may help doctors make faster and more consistent decisions.Read full original descriptionShow less
Development of an AI-Agent for Diagnosis and Treatment of Urological Diseases
Urological diseases such as urinary stones, prostate cancer, and bladder cancer are very common and often require highly specialized diagnosis and treatment. Today, the quality of care can vary between doctors, and there are not enough urology specialists to meet patient demand. Artificial intelligence (AI) may help doctors make faster and more consistent decisions.
This study aims to develop and test an AI-powered assistant called "UroAgent" that supports doctors in diagnosing and treating urological diseases. UroAgent is built on a large language model trained specifically for urology and is connected to tools that help it retrieve medical knowledge and analyze images. To build and test UroAgent, the research team will use 1,500 past patient records from 2010-2025 and collect 500 new patient cases for validation, for a total of 2,000 cases. This is an observational study: no patient's medical treatment will be changed because of it. The goal is to create a reliable AI tool that helps improve urological care for patients.
Inclusion: Diagnosed with a urological disease (e.g., urinary stones, prostate cancer, bladder cancer, and other urological conditions); Availability of complete clinical information, imaging data, and surgical video required for model development and validation.
Exclusion: Missing clinical information, imaging data, or surgical video.