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Painful Hip clinical trials

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NCT ID: NCT04304742 Completed - Painful Hip Clinical Trials

Radiologist Diagnostic Performance Versus Artificial Intelligence (AI)

RAVIA
Start date: March 1, 2020
Phase:
Study type: Observational

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.