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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.

NCT06566014 · Status: COMPLETED · Phase: NA · Type: INTERVENTIONAL · Enrollment: 38

Last updated 2024-12-04

No results posted yet for this study

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. A RCT has been designed to compare the effectiveness of AI feedback with no AI feedback.

Conditions

  • Spina Bifida

Interventions

OTHER

Evaluation of XAI-assisted spina bifida diagnosis

AI feedback

Sponsors & Collaborators

  • Copenhagen Academy for Medical Education and Simulation

    lead OTHER

Study Design

Allocation
RANDOMIZED
Purpose
DIAGNOSTIC
Masking
SINGLE
Model
PARALLEL

Eligibility

Sex
ALL
Healthy Volunteers
Yes

Timeline & Regulatory

Start
2024-07-01
Primary Completion
2024-10-30
Completion
2024-10-30

Countries

  • Denmark

Study Locations

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Read the full study record

This page highlights key information. For complete eligibility criteria, study locations, investigator contacts, and the full protocol, visit the original record on ClinicalTrials.gov.

View NCT06566014 on ClinicalTrials.gov