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Clinical Trial

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

NCT: NCT07476638 · NOT_YET_RECRUITING

NCT IDNCT07476638
StatusNOT_YET_RECRUITING
Start Date2026-03-01
Completion2027-03-01

Brief Summary

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).

Frequently Asked Questions

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

Impact of AI Feedback on Ultrasound Biometry Accuracy Across the Expertise Levels is a clinical trial registered under NCT07476638. Current status: NOT_YET_RECRUITING.

What is the status of NCT07476638?

The current status of NCT07476638 (Impact of AI Feedback on Ultrasound Biometry Accuracy Across the Expertise Levels) is: NOT_YET_RECRUITING.

When did Impact of AI Feedback on Ultrasound Biometry Accuracy Across the Expertise Levels start?

Impact of AI Feedback on Ultrasound Biometry Accuracy Across the Expertise Levels started on 2026-03-01.

Official Source

View on ClinicalTrials.gov →

Data sourced from ClinicalTrials.gov API. For the most current status, refer to the official record.

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