AI Performance for the Detection of Bone Fractures in Children

Recruiting

• Conditions: Fracture

• Registration Number: NCT05538403
• Lead Sponsor: University Hospital, Montpellier

Brief 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.

Detailed Description

Not available

Study Timeline

• Study Start: 2022-05-01
• Status Verified: 2022-09
• Study First Submitted: 2022-09-09
• Study First Submitted QC: 2022-09-09
• Last Update Submitted: 2022-09-09
• Study First Posted: 2022-09-13
• Last Update Posted: 2022-09-13
• Primary Completion: 2022-11-01
• Study Completion: 2022-12-30

Recruitment & Eligibility

• Status: RECRUITING
• Sex: All
• Target Recruitment: 210

Inclusion Criteria

Not provided

Exclusion Criteria

Not provided

Study & Design

• Study Type: OBSERVATIONAL
• Study Design: Not specified

Primary Outcome Measures

Name	Time	Method
Percentage of fracture detected by AI on radiographs	1 day	Percentage of fracture detected by AI on radiographs

Trial Locations

Locations (1)

University hospital; 🇫🇷 Montpellier, France