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Impact of AI Feedback on Ultrasound Biometry Accuracy Across the Expertise Levels
Sponsor: Copenhagen Academy for Medical Education and Simulation
Summary
Objective: To evaluate the impact of real-time AI feedback on fetal biometry accuracy and investigate the Expertise Reversal Effect-whether AI benefits diminish as user experience increases. Design: A stratified randomized trial of 75 participants (25 Novices, 25 Intermediates, 25 Experts). Users are randomized 1:1 to either AI-assisted or manual measurement groups. Outcomes: * Primary: EFW accuracy (MAPE) compared to actual birthweight. * Secondary: Procedure time, image quality, error relative to baseline scans, and cognitive workload (NASA-TLX).
Official title: Evaluating the Sensitivity to Change of AI-Feedback in Ultrasound Biometry: A Stratified Randomized Controlled Trial Across the Expertise Gradient
Key Details
Gender
All
Age Range
Any - Any
Study Type
INTERVENTIONAL
Enrollment
75
Start Date
2026-03-01
Completion Date
2027-03-01
Last Updated
2026-03-31
Healthy Volunteers
Yes
Conditions
Interventions
AI interventional group
Participants in the intervention arm perform fetal biometry with the assistance of real-time Artificial Intelligence (AI) feedback software.
Locations (1)
Rigshospitalet
Copenhagen, København Ø, Denmark