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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.
NA trial testing Evaluation of XAI-assisted spina bifida diagnosis in Spina Bifida in 38 participants. Completed in 30 October 2024.
30 October 2024
Quick facts
| Lead sponsor | Copenhagen Academy for Medical Education and Simulation |
|---|---|
| Phase | NA |
| Status | Completed |
| Study type | INTERVENTIONAL |
| Allocation | randomized |
| Design | parallel |
| Masking | single |
| Primary purpose | diagnostic |
| Enrollment | 38 |
| Start date | 1 July 2024 |
| Primary completion | 30 October 2024 |
| Estimated completion | 30 October 2024 |
| Sites | 1 location across Denmark |
Drugs / interventions tested
- Evaluation of XAI-assisted spina bifida diagnosis
Conditions studied
- Spina Bifida — all drugs for Spina Bifida →
Sponsor
Copenhagen Academy for Medical Education and Simulation
Who can join
Eligibility, any sex, with Spina Bifida. Patients with the condition only — healthy volunteers not accepted.
Sponsor's own 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. A RCT has been designed to compare the effectiveness of AI feedback with no AI feedback.
Publications & conference data
No peer-reviewed publications indexed yet for this trial. Completed trials usually publish results within 12-18 months.
Verify or expand the search:
- PubMed search for NCT06566014
- Europe PMC full search
- ASCO Meeting Library
- ESMO Meeting Library
- bioRxiv preprints
- medRxiv preprints
- Google Scholar
Related trials
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Currently open trials in the same condition.
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Other Copenhagen Academy for Medical Education and Simulation trials
Trials by the same sponsor.
- NCT07476638 — Impact of AI Feedback on Ultrasound Biometry Accuracy Across the Expertise Levels · NA · not yet recruiting
- NCT06842394 — Can Increased Medical Competence Reduce State Anxiety in Junior Doctors in the Emergency Department? · NA · completed
- NCT06729372 — Optimizing Simulation-Based Training in Orthopedics: Exploring Deliberate Flawed Performance for Dynamic Hip Screw Osteo · NA · completed
- NCT06612619 — Is Two-on-one Instruction in Virtual Reality Simulation-based Training of Operating Fractures of the Hip for Medical Stu · NA · recruiting
- NCT06314178 — Assessing Demographic Biases in Deep Learning Model for Fetal Growth Estimation in Clinical Practice. Patients Eligible · completed
Verify against primary sources
- ClinicalTrials.gov — authoritative US registry record
- WHO ICTRP — international registry index
- EU Clinical Trials Register
- Sponsor press releases (Google)
- Trial protocol + status: ClinicalTrials.gov NCT06566014 (US National Library of Medicine, public domain)
- Drug + disease cross-links: matched in real time against Drug Landscape's normalised drug + company + condition tables
- Sponsor: as reported to ClinicalTrials.gov by Copenhagen Academy for Medical Education and Simulation
- Last refreshed: 4 December 2024
Drug Landscape aggregates and links these public records for informational use only. Always verify against the primary source before clinical or regulatory decisions. Canonical URL: https://druglandscape.com/trial/NCT06566014.
Primary sources · FDA · ClinicalTrials.gov · EMA · SEC EDGAR · ChEMBL · Wikidata · full sourcing