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).
Medical students (doing their masters.
Resident physicians and Senior Consultants in Obstetrics and Gynecology.
Pre pregnancy BMI < 40
Singelton pregnancy
Major fetal anatomical anomaly
Anhydramnios (DVP < 2 cm)
CPR ratio < 2.5th percentile
Copenhagen Academy for Medical Education and Simulation
Lead sponsor
Rigshospitalet, Denmark
Collaborator
Slagelse Hospital
Collaborator