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Can an AI agent match expert urologists? a major test begins
NCT ID NCT07721935
First seen Jul 23, 2026 · Last updated Jul 24, 2026 · Updated 1 time
Summary
Urological diseases like kidney stones, prostate cancer, and bladder cancer are common but require expert diagnosis. This study will develop and test an AI assistant called UroAgent that helps doctors make decisions by analyzing patient records and images. Researchers will use 2,000 patient cases to see how accurately UroAgent's diagnoses match those of senior urologists. The goal is to create a reliable tool that could make urological care more consistent and accessible.
What this could mean
Our plain-language read of the trial. This is informational only, not medical advice or a prediction.
- Active substance
- an AI-powered diagnostic assistant called UroAgent
- What this could lead to
- If successful, UroAgent could help doctors make faster, more consistent diagnoses for common urological conditions, potentially improving care and reducing specialist shortages.
- What could go wrong
- This is an early-stage observational study, not a clinical trial of a treatment. The AI may not perform as well in real-world settings or on diverse patient populations.
This is an AI summary of the original study and may miss details. Read our disclaimer.
Study facts
What this study's own registry entry says, in plain language.
- Participants
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About 2,000 people
The number the study aims to enrol. It can still change while the study runs.
- Started
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Apr 2025
- Expected to finish
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Jun 2027
An estimate. End dates often move.
- Lead sponsor
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Other sponsor
The registry's catch-all category, for sponsors it does not file as a company, a government agency, or a research network.
Who can take part
This study's own entry requirements. Only the study team can say for certain whether you qualify.
Who is studied
The study population comprises patients diagnosed with urological diseases at Sun Yat-sen Memorial Hospital, including urinary stones, prostate cancer, bladder cancer, and other urological conditions. A total of 2,000 participants (cases) will be included: 1,500 retrospective cases with records from 2010 to 2025, and 500 prospective, consecutively enrolled cases. Both sexes are eligible, and the population is predominantly adult (the protocol does not specify an age cutoff; an age criterion of ≥18 years is recommended for registry entry, per the note in section 16). All included participants have complete clinical information, imaging data, and surgical video available for model development and validation. Records are de-identified prior to use. The population reflects the real-world case mix of a tertiary urology center.
- Ages
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Children (under 18), adults (18 to 64) and older adults (65 and over)
- Sex
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Anyone
- Healthy volunteers
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Not accepted
This study is not open to healthy volunteers. The entry requirements below say who it is open to.
Show the full entry requirements Hide the full entry requirements
Copied word for word from the study's registry entry, so the wording is the study team's rather than ours.
Inclusion Criteria: 1. Diagnosed with a urological disease (e.g., urinary stones, prostate cancer, bladder cancer, and other urological conditions). 2. Availability of complete clinical information, imaging data, and surgical video required for model development and validation. Exclusion Criteria: 1\. Missing clinical information, imaging data, or surgical video.
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Conditions
The condition(s) this trial relates to.
As listed by the trial registrant
The condition terms exactly as the trial's registrant entered them.
How to take part
Only the study team decides who joins. These are the ways to reach them.
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The places running it
3 sites. The list below names each one and where it is.
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The official record
ClinicalTrials.gov lists the study team's own contact details, including names and phone numbers. We don't republish those.
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A doctor treating you
A doctor who knows your case can contact a study site on your behalf, and can tell you whether this study is worth pursuing at all.
Contacts and locations
Locations
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Ganzhou People's Hospital
RECRUITINGGanzhou, Jiangxi, 341000, China
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Shenshan Medical Center, Sun Yat-sen Memorial Hospital, Sun Yat-sen University
RECRUITINGShantou, Guangdong, 516600, China
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Sun Yat-sen Memorial Hospital, Sun Yat-sen University
RECRUITINGGuangzhou, Guangdong, 510000, China
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