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

StatusRecruiting
PhaseNot applicable
Started
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Record History

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  1. Recruitment opened
    • Study sites: 1 to 3
    v3
  2. Secondary endpoints revised (5)v2
  3. Study First Submitted
  • Stopped: an ongoing trial was terminated, suspended or withdrawn.
  • Notable: the trial’s plan changed such as a big move in its timeline or size, a new primary endpoint, sponsor or phase, or recruiting opened or resumed.
  • Minor: routine progress and housekeeping, such as sites added or enrollment closed.
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).
Trial Details
NCT Number NCT07476638
Lead Sponsor Copenhagen Academy for Medical Education and Simulation
Collaborators: Rigshospitalet, Denmark, Slagelse Hospital
Conditions
(from sponsor)		 Fetal Growth Abnormalities, Fetal Weight
Related terms Fetal Weight
Enrollment 75 participants
Start Date
Primary Completion (estimated)
Study Completion (estimated)
Updated on ClinicalTrials.gov