AI vs. pediatricians: who makes the call?

NCT ID NCT07179861

Completed Knowledge-focused Sponsor: Haseki Training and Research Hospital Source: ClinicalTrials.gov ↗

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.

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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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