AI Performance for the Detection of Bone Fractures in Children

Last updated: September 9, 2022
Sponsor: University Hospital, Montpellier
Overall Status: Active - Recruiting

Phase

N/A

Condition

Bone Fractures

Treatment

N/A

Clinical Study ID

NCT05538403
RECHMPL22_0224
  • Ages < 2
  • All Genders

Study 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.

Eligibility Criteria

Inclusion

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 radiologistwith expertise in child abuse)

Exclusion

Exclusion criteria:

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

Study Design

Total Participants: 210
Study Start date:
May 01, 2022
Estimated Completion Date:
December 30, 2022

Connect with a study center

  • University hospital

    Montpellier, 34295
    France

    Active - Recruiting

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