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.
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 randomized controlled trial (RCT) has been designed to compare the effectiveness of AI feedback with no AI feedback. Forty fetal medicine specialists are randomly assigned to receive either the AI feedback or no feedback, and the two groups are compared to determine if the feedback improved the accuracy of detecting spina bifida.
Study Type
INTERVENTIONAL
Allocation
RANDOMIZED
Purpose
DIAGNOSTIC
Masking
SINGLE
Enrollment
38
AI feedback
Copenhagen University Hospital, Rigshospitalet
Copenhagen, Denmark
Evaluation of XAI-assisted spina bifida diagnosis
The study aims to evaluate whether AI feedback improve the accuracy of diagnosing spina bifida by comparing the number of correct and incorrect responses in a task involving 20 images.
Time frame: One month after the survey is distributed.
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