Status: Not yet recruiting
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).
Participants needed: 75
Trial details
Biological sex: AllType: InterventionalSponsor: Copenhagen Academy for Medical Education and SimulationUpdated: Mar 31, 2026Locations: 1
Eligibility criteria
Medical students (doing their masters. [+5]
Major fetal anatomical anomaly [+2]