Impact of AI Feedback on Ultrasound Biometry Accuracy Across the Expertise Levels

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).

NCT Number	NCT07476638
Lead Sponsor	Copenhagen Academy for Medical Education and Simulation Collaborators: Rigshospitalet, Denmark, Slagelse Hospital
Conditions	Fetal Growth Abnormalities, Fetal Weight
Enrollment	75 participants
Start Date	2026-03-01
Primary Completion	2027-03-01 (estimated)
Study Completion	2027-03-01 (estimated)
Updated on ClinicalTrials.gov	2026-08-06