AI Performance for the Detection of Bone Fractures in Children

University Hospital Center (CHU)

Status: Enrolling

Conditions: Fracture

Study type: Observational

Funder types: Other

Identifiers

NCT05538403

RECHMPL22_0224

Details and patient eligibility

About

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.

Enrollment: 210 estimated patients

Sex: All

Ages: Under 2 years old

Volunteers: No Healthy Volunteers

Inclusion criteria

• aged less than 2 years old
• whole body radiography performed for suspected child abuse setting
• report available with a double blind reading (generalist radiologist and radiologist with expertise in child abuse)

Exclusion criteria

• Radiograph not interpretable ( poor quality)
• AI not applicable