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

RecruitingNAAges any - anyAllCopenhagen Academy for Medical Education and Simu…
NCT07476638 on ClinicalTrials.gov ↗
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In plain words

What the trial is, and whether it could suit you

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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📋 Eligibility rules (as published)
Clinical Target Population: Healthcare professionals and students, including but not limited to: * Medical students (doing their masters. * Resident physicians and Senior Consultants in Obstetrics and Gynecology. Exclusion: \- If the participants do not understand and speak either Danish or English Pregnant women: Inclusion Criteria: * Pre pregnancy BMI \< 40 * Singelton pregnancy * GA ≥ 37+0 at time of induction * Intact membranes (to ensure consistent amniotic fluid index) Exclusion Criteria: * Major fetal anatomical anomaly * Anhydramnios (DVP \< 2 cm) * CPR ratio \< 2.5th percentile
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What it tests

  • AI interventional group
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Where

3 sites
Nordsjællands Hospital
Hillerød, Denmark
Rigshospitalet
Copenhagen, Denmark
Rigshospitalet
Copenhagen, Denmark
🤝 Taking part is your choice, and you can leave at any time. Only the trial team can confirm you are eligible — always decide together with your own doctor.
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