Radiologist Diagnostic Performance Versus Artificial Intelligence (AI)
- Conditions
- Fonctional Impotence After Minor Trauma (Fall)Painful Hip
- Registration Number
- NCT04304742
- Lead Sponsor
- University Hospital, Montpellier
- Brief Summary
In France, femoral neck fracture is mainly detected with interpretation of pelvis/hip X-ray imaging (French Health Authority recommandation).
However, up to 10% of fractures are not identified or misdiagnosed, especially in patients admitted to the emergency department.
Indeed, radiologists may be subject to excessive work, wich cause the risk of inaccurate on X-rays diagnosis.
The Artificial intelligence (AI) begins study the detection of fratures on medical imaging.
In this retropective study, this technology developed by GLEAMER company is tested to evaluate the detection rate of hip fracture and specifically femoral neck fracture, compared to the radiologist diagnostic, in eldery patients admitted in emergency department.
AI could optimize the diagnostic performance of radiologists (increase of confidence level) and improve the efficiency of suspected fractures sorting from emergency department.
- Detailed Description
Not available
Recruitment & Eligibility
- Status
- COMPLETED
- Sex
- All
- Target Recruitment
- 1000
Not provided
Not provided
Study & Design
- Study Type
- OBSERVATIONAL
- Study Design
- Not specified
- Primary Outcome Measures
Name Time Method Detection rate of femoral neck fracture 1 day Detection rate of femoral neck fracture
- Secondary Outcome Measures
Name Time Method Detection rate of other hip fracture 1 day Detection rate of other hip fracture
Trial Locations
- Locations (1)
Uhmontpellier
🇫🇷Montpellier, France
Uhmontpellier🇫🇷Montpellier, France