# 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** · NA · COMPLETED · sponsor: **Copenhagen Academy for Medical Education and Simulation** · enrollment: 38 (actual)

## Conditions studied

- Spina Bifida

## Interventions

- **OTHER:** Evaluation of XAI-assisted spina bifida diagnosis

## Key facts

- **NCT ID:** NCT06566014
- **Lead sponsor:** Copenhagen Academy for Medical Education and Simulation
- **Sponsor class:** OTHER
- **Phase:** NA
- **Study type:** INTERVENTIONAL
- **Status:** COMPLETED
- **Start date:** 2024-07-01
- **Primary completion:** 2024-10-30
- **Final completion:** 2024-10-30
- **Target enrollment:** 38 (ACTUAL)
- **Last updated:** 2024-12-04


## Primary source

ClinicalTrials.gov registry: https://clinicaltrials.gov/study/NCT06566014

## Citation

> US National Library of Medicine, ClinicalTrials.gov registration NCT06566014, "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.". Retrieved via AI Analytics 2026-05-27 from https://api.ai-analytics.org/clinical/NCT06566014. Licensed CC0.

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