Development of an AI-Agent for Urological Disease Diagnosis and Treatment
This is not medical advice. AI-assisted translation — inaccuracies may occur. Always verify the original and consult your oncologist before taking any steps.
About the trial
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.
Original English text from ClinicalTrials.gov
Who can (and can't) join
✓ Qualifies
- •Rozpoznana choroba urologiczna (kamienie nerkowe, rak prostaty, rak pęcherza lub inne choroby układu moczowego)
- •Dostępne kompletne informacje medyczne, badania obrazowe i nagrania operacji
✗ Disqualifies
- •Brakujące informacje medyczne, badania obrazowe lub nagrania operacji
Simplified criteria — AI translation
Trial details
- Last updated (source)
- July 23, 2026
- Sex
- No restrictions
Locations (3)
Sun Yat-sen Memorial Hospital, Sun Yat-sen University
Guangzhou, China
Shenshan Medical Center, Sun Yat-sen Memorial Hospital, Sun Yat-sen University
Shantou, China
Ganzhou People's Hospital
Ganzhou, China
Trial contact
Mingzhou Dai
Contact information from ClinicalTrials.gov. Contact in English.
Share this trial
Data from ClinicalTrials.gov. AI-assisted translation, last sync: 7/24/2026.
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