NCT04304742

Radiologist Diagnostic Performance Versus Artificial Intelligence (AI)

Retrospective Study Comparing Radiologist Diagnostic Performance Versus Artificial Intelligence (AI) for Hip Fracture Suspicion in Elderly Patients

• Status: Completed
• Phase: —
• Study type: Observational
• Enrollment: 1,000 (actual)
• Sponsor: University Hospital, Montpellier · Academic / Other
• Sex: All
• Age: 60 Years
• Healthy volunteers: Not accepted

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.

Conditions

• Painful Hip
• Fonctional Impotence After Minor Trauma (Fall)

Interventions

Type	Name	Description
PROCEDURE	hip standard radiography/ CT scan/ MRI	hip standard radiography/ CT scan/ MRI

Timeline

• Start date: 2020-03-01
• Primary completion: 2021-04-01
• Completion: 2021-10-30
• First posted: 2020-03-11
• Last updated: 2022-04-14

Locations

1 site across 1 country: France