Status:
COMPLETED
The Study Aims to Improve the Accuracy of Detecting Spina Bifida During Early Ultrasound Scans. to Achieve This, an AI Model Has Been Developed to Provide Feedback About the Presence of Spina Bifida. a RCT Has Been Designed to Compare the Effectiveness of AI Feedback with No AI Feedback.
Lead Sponsor:
Copenhagen Academy for Medical Education and Simulation
Conditions:
Spina Bifida
Eligibility:
All Genders
Phase:
NA
Brief Summary
The study aims to improve the accuracy of detecting spina bifida during early ultrasound scans. To achieve this, an AI model has been developed to provide feedback about the presence of spina bifida. ...
Detailed Description
The study aims to improve the accuracy of detecting spina bifida during early ultrasound scans. To achieve this, an AI model has been developed to provide feedback about the presence of spina bifida. ...
Eligibility Criteria
Inclusion
- Obstetricians
Exclusion
- Fetal medicine specialists
Key Trial Info
Start Date :
July 1 2024
Trial Type :
INTERVENTIONAL
Allocation :
ACTUAL
End Date :
October 30 2024
Estimated Enrollment :
38 Patients enrolled
Trial Details
Trial ID
NCT06566014
Start Date
July 1 2024
End Date
October 30 2024
Last Update
December 4 2024
Active Locations (1)
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1
Copenhagen University Hospital, Rigshospitalet
Copenhagen, Denmark