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AI vs. pediatricians: who makes the call?

NCT ID NCT07179861

Knowledge-focused Sponsor: Haseki Training and Research Hospital 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 Results may not be published yet.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This status has not been confirmed recently, so it may be out of date.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 26, 2026 · Last updated Jun 26, 2026

Summary

This study tested how well AI tools perform on pediatric case scenarios and whether showing AI suggestions can improve doctors' answers. About 30 pediatric specialists answered medical cases, with some receiving AI recommendations before finalizing their decisions. The goal is to understand if AI can safely support clinical decision-making in pediatrics.

What this could mean

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

Active substance
AI suggestions from five large language models
What this could lead to
If successful, this could point toward safe ways to use AI alongside pediatricians to improve diagnostic accuracy.
What could go wrong
This is a small, single-hospital study with only 30 participants, so results may not apply broadly. AI suggestions might not improve—or could even worsen—doctor performance.

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

30 people

The number who actually took part.

Started

Aug 2025

Finished

Sep 2025

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

Board-certified/eligible general pediatrics specialists recruited from SBÜ Sultangazi Haseki Training and Research Hospital network.

Ages

28 to 40 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: * Board-certified or board-eligible pediatric specialist (general pediatrics) (in the first 10 years of expertise) * Actively practicing at the participating institution/network at the time of enrollment. * Able and willing to complete all vignette items individually in a single session and to follow study instructions for the assigned cohort (direct answers or confidence rating + viewing anonymized AI suggestions). * Fluent in Turkish and able to use a computer interface. * Provides written informed consent. Exclusion Criteria: * Pediatric subspecialist practice as primary role (e.g., cardiology, infectious diseases, neurology, neonatology, etc.), to maintain a homogeneous general pediatrics cohort. * Prior access to or participation in creating the study vignettes, answer keys, or scoring rubrics; direct involvement with the study team. * Inability to complete the session without external help or use of non-protocol resources (internet/AI tools) during answering (outside of anonymized AI suggestions shown by the system in Group 2). * Failure to complete ≥90% of items or major protocol deviation (e.g., discussion with others during the task). * Any condition judged by investigators to interfere with valid participation (e.g., severe time constraints, inability to provide consent).

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As listed by the trial registrant

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

Artificial intelligence (AI) in diagnosis Clinical decision-making Decision support systems, clinical Pediatrics

Contacts and locations

Locations

  • SBÜ Sultangazi Haseki Training and Research Hospital

    Istanbul, Sultangazi, 34010, Turkey (Türkiye)

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