Trials / Unknown
UnknownNCT05538403
AI Performance for the Detection of Bone Fractures in Children
Assessment of AI Performance for the Detection of Bone Fractures in Children Aged Less Than 2 Years Old in Suspected Child Abuse Setting.
- Status
- Unknown
- Phase
- —
- Study type
- Observational
- Enrollment
- 210 (estimated)
- Sponsor
- University Hospital, Montpellier · Academic / Other
- Sex
- All
- Age
- 0 Years – 2 Years
- Healthy volunteers
- Not accepted
Summary
The artificial intelligence (AI) software BoneView (GLEAMER Company, Paris, France) has been designed, tested and validated to detect and locate recent or semi-recent fractures on standard radiographs. The objective will be to assess the AI performance for the detection of bone fractures in children aged less than 2 years old in suspected child abuse setting. These patients benefit from a whole body radiography with a double blind reading by a "generalist" radiologist and a radiologist with expertise in child abuse. This readings will be compared with the AI results. Hypothesis is that AI is effective for child fractures detection and could be of help especially for radiologists who are not experts in child abuse.
Conditions
Timeline
- Start date
- 2022-05-01
- Primary completion
- 2022-11-01
- Completion
- 2022-12-30
- First posted
- 2022-09-13
- Last updated
- 2022-09-13
Locations
1 site across 1 country: France
Source: ClinicalTrials.gov record NCT05538403. Inclusion in this directory is not an endorsement.