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

AI vs. experts: who writes better exam questions for future anesthesiologists?

NCT ID NCT07522658

Knowledge-focused Sponsor: Kutahya Health Sciences University Source: ClinicalTrials.gov ↗

What the study statuses mean

This study's is highlighted.

Recruitment status, easiest to join first

Recruiting now
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 This study
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 Results may not be published yet.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This status has not been confirmed recently, so it may be out of date.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 tested whether artificial intelligence (AI) can create test questions as good as those written by experienced teachers. 26 anesthesiology residents answered 200 true/false questions, half made by AI and half by experts. Researchers compared how hard and how fair the questions were, and asked residents what they thought. The goal is to see if AI can help make exams more objective and save time for educators.

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

26 people

The number who actually took part.

Started

Apr 2026

Finished

Apr 2026

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

Anesthesiology residents undergoing training at Kütahya Health Sciences University.

Ages

18 years and older

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: * Being an anesthesiology resident * Voluntary participation in the study * Providing informed consent Exclusion Criteria: * Refusal to participate * Incomplete test responses

Get updates

Get notified about this study

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

Vår säkerhetsrekommendation!

Genom att skicka in godkänner du våra Användarvillkor

As listed by the trial registrant

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

Artificial intelligence Assessment methods in medical training Medical education

Contacts and locations

Locations

  • Kütahya Health Sciences University

    Kütahya, Turkey (Türkiye)

More trials for these conditions

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