Boneview-ED - Impact of Artificial Intelligence Detecting Fractures in the Emergence Department : a Pragmatic Prospective Study
Not Applicable
Recruiting
- Conditions
- Fractures, Bone
- Registration Number
- NCT06013852
- Lead Sponsor
- University Hospital, Angers
- Brief Summary
Not available
- Detailed Description
Not available
Recruitment & Eligibility
- Status
- Recruiting
- Sex
- All
- Target Recruitment
- 1600
Inclusion Criteria
Inclusion Criteria:<br><br> - Major patient<br><br> - Admitted to the emergency department after trauma less than 48 hours<br><br> - Patient with an indication on an x-ray of the limbs or/and pelvis<br><br> - Express patient consent<br><br> - Affiliated patient or social security beneficiary<br><br>Exclusion Criteria:<br><br> - Polytraumatized patient<br><br> - X-ray of the corso-lumbar spine, skull, cervical spine (all parts of the body not<br> affected by the intended use of the software)<br><br> - Pregnant, lactating or parturient patient
Exclusion Criteria
Not provided
Study & Design
- Study Type
- Interventional
- Study Design
- Not specified
- Primary Outcome Measures
Name Time Method Change in ER support between X-ray reading without and with artificial intelligence
- Secondary Outcome Measures
Name Time Method