Development of an AI-Agent for Urological Disease Diagnosis and Treatment
About this study
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.
- Condition
- Urinary Stones, Prostate Cancer, Bladder Cancer
- Sponsor
- Sun Yat-Sen Memorial Hospital of Sun Yat-Sen University
Who can join
- Age
- Not specified
- Sex
- All sexes
- Healthy volunteers
- Not accepted
Inclusion 3
- Study condition: Urinary Stones, Prostate Cancer, Bladder Cancer
- 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 1
- \. Missing clinical information, imaging data, or surgical video.
Where
3 sites, 3 recruiting
Ganzhou People's Hospital
Ganzhou, Jiangxi, China
Sun Yat-sen Memorial Hospital, Sun Yat-sen University
Guangzhou, Guangdong, China
Shenshan Medical Center, Sun Yat-sen Memorial Hospital, Sun Yat-sen University
Shantou, Guangdong, China
Contact
-
Mingzhou Dai
+86 19924684262 daimzh3@mail2.sysu.edu.cn
Potential match only. Final eligibility is determined by the study team.