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).
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AI-rewrites the medical criteria so a patient or caregiver can understand them. Always confirm with the trial site.
To evaluate the sensitivity to change in ultrasound measurement accuracy when using AI-feedback compared to standard scanning
Timeframe: The two scans will be performed within a timeframe of 14 days.
Mary Le Ngo, Medical Doctor (MD), PhD stude