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AI Performance for the Detection of Bone Fractures in Children

NCT05538403 · Status: UNKNOWN · Type: OBSERVATIONAL · Enrollment: 210

Last updated 2022-09-13

No results posted yet for this 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.

Conditions

  • Fracture

Sponsors & Collaborators

  • University Hospital, Montpellier

    lead OTHER

Principal Investigators

  • Ingrid Millet, PUPH · University Hospital, Montpellier

Eligibility

Min Age
0 Years
Max Age
2 Years
Sex
ALL
Healthy Volunteers
No

Timeline & Regulatory

Start
2022-05-01
Primary Completion
2022-11-01
Completion
2022-12-30

Countries

  • France

Study Locations

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Read the full study record

This page highlights key information. For complete eligibility criteria, study locations, investigator contacts, and the full protocol, visit the original record on ClinicalTrials.gov.

View NCT05538403 on ClinicalTrials.gov