Can an AI agent match expert urologists? a major test begins

NCT ID NCT07721935

What the study statuses mean

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Recruitment status, easiest to join first

Recruiting now This study
This trial is taking on new participants right now.
Not yet recruiting
Registered, but not yet taking participants.
By invitation only
Not open to general applications. Only people the study team invites can take part.
Paused
Paused for now. It may or may not start again.
Ongoing
Running, but no longer taking on new participants.
Completed
The trial has finished. Results may not be published yet.
Stopped early
Stopped early, before it reached the end. That can be for many reasons, including safety.
Cancelled
Cancelled before anyone took part.

Expanded access (not trials)

Expanded access
Not a trial. This treatment can be requested outside a study, case by case, for people who qualify.
Expanded access (paused)
Not a trial. The treatment can normally be requested outside a study, but is unavailable right now.
Expanded access (ended)
Not a trial. The treatment could once be requested outside a study, but no longer can.
Approved
The treatment has been approved, so it is available normally rather than through this programme.

When the status isn't known

Details not published
The full record has not been published yet, so there is little to show here.
Status unknown
This status has not been confirmed recently, so it may be out of date.

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

About 2,000 people

The number the study aims to enrol. It can still change while the study runs.

Started

Apr 2025

Expected to finish

Jun 2027

An estimate. End dates often move.

Lead sponsor

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

Children (under 18), adults (18 to 64) and older adults (65 and over)

Sex

Anyone

Healthy volunteers

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

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.

  1. The places running it

    3 sites. The list below names each one and where it is.

  2. The official record

    ClinicalTrials.gov lists the study team's own contact details, including names and phone numbers. We don't republish those.

    Open the record ↗

  3. 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

  • Ganzhou People's Hospital

    RECRUITING

    Ganzhou, Jiangxi, 341000, China

  • Shenshan Medical Center, Sun Yat-sen Memorial Hospital, Sun Yat-sen University

    RECRUITING

    Shantou, Guangdong, 516600, China

  • Sun Yat-sen Memorial Hospital, Sun Yat-sen University

    RECRUITING

    Guangzhou, Guangdong, 510000, China

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