Comparing Artificial Intelligence and Physicians: A Vignette-Based Study in Pediatric Clinical Decision-Making
NCT07179861 · Status: COMPLETED · Type: OBSERVATIONAL · Enrollment: 30
Last updated 2025-09-23
Summary
This study evaluates how well anonymized artificial-intelligence (AI) tools perform on standardized pediatric case vignettes and whether showing AI suggestions can improve clinicians' answers. About 30 board-certified/eligible pediatric specialists at a single hospital complete a one-time session. Participants are randomized to two groups. Group A (n≈15): physicians answer each vignette once. Group B (n≈15): physicians answer and rate confidence (1-10), then review anonymized suggestions from five different AI tools (tool names not shown) and may keep or change their answer; changes and confidence are recorded.
Primary focus: measure AI performance (diagnostic accuracy, medication-dosing accuracy, interpretation accuracy) overall and by difficulty tier, and record AI response time. Secondary focus: quantify how AI suggestions affect human performance (change in accuracy, direction of change, confidence shift, and time). No patients or biospecimens are involved; risks are minimal (time and possible discomfort with performance review). Findings may inform safe, evidence-based ways to use AI alongside clinicians in pediatrics.
Conditions
- Artificial Intelligence (AI) in Diagnosis
- Decision Support Systems, Clinical
- Clinical Decision-making
- Pediatrics
Interventions
- OTHER
-
AI Suggestions (Anonymized 5-tool panel)
What: Display of AI-generated suggestions for each vignette, aggregated from five large language model tools (names not shown to participants). When/Who: Shown only in Group 2, after the physician's initial answer and confidence score. Purpose: Measure AI performance (primary) and quantify the effect of AI suggestions on physicians' answers (secondary). Applies to: Group 2.
- OTHER
-
Confidence Rating Task (1-10 Likert)
What: Self-rated confidence for the initial answer on a 1-10 scale. When/Who: Group 2 before viewing AI suggestions. Purpose: Quantify confidence changes pre- vs post-AI and relate confidence to correctness. Applies to: Group 2.
Sponsors & Collaborators
-
Haseki Training and Research Hospital
lead OTHER
Eligibility
- Min Age
- 28 Years
- Max Age
- 40 Years
- Sex
- ALL
- Healthy Volunteers
- Yes
Timeline & Regulatory
- Start
- 2025-08-27
- Primary Completion
- 2025-09-10
- Completion
- 2025-09-11
Countries
- Turkey (Türkiye)
Study Locations
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