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

NCT ID NCT07721935

Recruiting now Diagnosis Sponsor: Sun Yat-Sen Memorial Hospital of Sun Yat-Sen University Source: ClinicalTrials.gov ↗

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.

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Conditions

The condition(s) this trial relates to.

prostate cancer urinary bladder carcinoma Urinary Bladder Neoplasms Urinary Calculi urinary system disorder urolithiasis

As listed by the trial registrant

The condition terms exactly as the trial's registrant entered them.

BLADDER CANCER PROSTATE CANCER URINARY STONES

Contacts and locations

Study contacts

  • Contact

    Phone: •••-•••-•••• Email: •••••@•••••

Locations

  • Ganzhou People's Hospital

    RECRUITING

    Ganzhou, Jiangxi, 341000, China

    Contact Phone: •••-•••-•••• Email: •••••@•••••

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

    RECRUITING

    Shantou, Guangdong, 516600, China

    Contact Phone: •••-•••-•••• Email: •••••@•••••

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

    RECRUITING

    Guangzhou, Guangdong, 510000, China

    Contact Phone: •••-•••-•••• Email: •••••@•••••

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