Den här översättningen är inte klar ännu. Den här sidan är just nu på engelska.

Gå till den engelska sidan

Cure My Disease

Don't miss your cure!

 Log in / Sign up

Can AI match doctors? new study puts ChatGPT to the test on urology cases

NCT ID NCT07378358

Knowledge-focused Sponsor: First Affiliated Hospital of Fujian Medical University Source: ClinicalTrials.gov ↗

What the study statuses mean

This study's is highlighted.

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 Results may not be published yet.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This status has not been confirmed recently, so it may be out of date.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 Jun 27, 2026 · Last updated Jun 27, 2026

Summary

This study looks at how well three AI models—ChatGPT, Gemini, and Deepseek—can diagnose and suggest treatments for urology diseases. Researchers will use 800 past patient records from four hospitals to check the AI's accuracy and usefulness. The goal is to understand if AI can help doctors make better decisions in real-world settings.

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 800 people

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

Expected to start

Jan 2026

An estimate. Start dates often move.

Expected to finish

Jun 2026

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 was drawn from the following institutions: The First Affiliated Hospital of Fujian Medical University, The Second Affiliated Hospital of Fujian Medical University,Shishi City Hospital and Shaowu City Hospital

Ages

18 years and older

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: * The case data is sourced from the four hospitals involved in the study, with complete and authentic diagnosis and treatment records. * Patients must be 18 years or older, with no gender restrictions. * Complete medical records, including the following core information: patient' s basic information, present illness history, past medical history, physical examination, and auxiliary examinations (including laboratory and imaging tests). * A clear discharge diagnosis and treatment plan (including therapeutic measures and follow-up arrangements). * Medical records have been archived, with objective and accurate information that has not been altered. * The patient or their legal representative has provided informed consent, agreeing to the use of their anonymized medical data for research analysis. Exclusion Criteria: * Medical records with significant missing information, such as key clinical details (present illness history, diagnostic or treatment records, etc.). * Cases where the diagnosis or treatment plan is unclear, or where treatment has not been fully completed for an initial diagnosis. * Cases where the primary diagnosis is not urological. * Cases with major errors or inconsistencies in the records that could affect further assessment. * Medical records in special formats or images that are not readable (e.g., handwritten notes, non-standard documentation). * Patients who have not signed the informed consent form or who refuse to allow their medical data to be used for research.

Get updates

Get notified about this study

Sign up to get updates when this study changes or when new studies for Urologic diseases are added.

Vår säkerhetsrekommendation!

Genom att skicka in godkänner du våra Användarvillkor

Conditions

The condition(s) this trial relates to.

urinary system disorder

As listed by the trial registrant

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

Urologic diseases

How to take part

Only the study team decides who joins. These are the ways to reach them.

  1. The places running it

    1 site. 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

  • The First Affiliated Hospital of Fujian Medical University

    RECRUITING

    Fuzhou, China

More trials for these conditions

Other studies related to the condition(s) this trial covers.