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
AI summary: who the study is looking for
From the trial's eligibility criteria. Machine-read from the registry text on this page, so it can be wrong. The registry text below and the trial team decide who can take part.
The trial is looking for people diagnosed with a urological disease, such as urinary stones, prostate cancer or bladder cancer. Their records are used to build and test an AI assistant for doctors.
- Sex
- All sexes can join.
- Disease stage
- A urological disease, for example urinary stones, prostate cancer, bladder cancer or another urological condition. No stage is named.
Main reasons for not taking part
- Missing clinical information
- Missing imaging data
- Missing surgical video
Read by machine on 12 November 2026.
Where in China
- Ganzhou People's HospitalGanzhou, ChinaContact: Cong LaiTaking people
- Sun Yat-sen Memorial Hospital, Sun Yat-sen UniversityGuangzhou, ChinaContact: Mingzhou DaiTaking people
- Shenshan Medical Center, Sun Yat-sen Memorial Hospital, Sun Yat-sen UniversityShantou, ChinaContact: Zhuang TangTaking 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?
Contact the study team: see the registry record → Contacts and Locations
Print a page for my doctorTrial 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.