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AI takes on medical exams: can it match human experts?

NCT ID NCT07505862

Knowledge-focused Sponsor: Guangdong Provincial People's Hospital 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 Results may not be published yet.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This status has not been confirmed recently, so it may be out of date.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 26, 2026 · Last updated Jun 27, 2026 · Updated 1 time

Summary

This study checks if artificial intelligence (AI) can create medical licensing exam questions as well as human experts. Twenty medical students will answer both AI-generated and human-written questions without knowing which is which. The goal is to see if AI can produce valid and reliable test items for medical education.

What this could mean

Our plain-language read of the trial. This is informational only, not medical advice or a prediction.

What this could lead to
If successful, this could show that AI can help create high-quality medical exam questions, saving time and resources.
What could go wrong
This is a very small study with only 20 participants, focused on one type of exam. Results may not apply to other settings or question types.

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 20 people

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

Started

Oct 2025

Expected to finish

Mar 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

Medical students currently enrolled in a Standardized Residency Training (SRT) program.

Ages

18 to 60 years

Sex

Anyone

Healthy volunteers

Accepted

You do not need to have the condition being studied to take part.

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.Professional Status: Medical students currently enrolled in a Standardized Residency Training (SRT) program. 2.Educational Background: Holders of a Bachelor of Medicine degree or higher, with foundational clinical knowledge. 3.Informed Consent: Voluntarily participate in the study and provide written informed consent. 4.Technical Competency: Proficient in using digital platforms to complete assessments and scoring. Exclusion Criteria: * 1.Conflict of Interest: Individuals involved in the AI model training, prompt engineering, or the creation of the human-authored question bank for this study. 2.Inability to Complete: Presence of visual/auditory impairments or severe illness that precludes completion of the assessment within the specified time. 3.Investigator's Discretion: Any other condition that, in the opinion of the investigator, renders the participant unsuitable for the study.

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As listed by the trial registrant

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

Ai (artificial intelligence)

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

  • Guangdong Provincial People's Hospital

    RECRUITING

    Guangzhou, Guangdong, China

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