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NCT04304742: RAVIA

Radiologist Diagnostic Performance Versus Artificial Intelligence (AI)

Completed Last updated 14 April 2022
What this trial tests

trial testing hip standard radiography/ CT scan/ MRI in Painful Hip in 1,000 participants. Completed in 30 October 2021.

Timeline
1 March 2020
Primary endpoint
1 April 2021
30 October 2021

Quick facts

Lead sponsorUniversity Hospital, Montpellier
StatusCompleted
Study typeOBSERVATIONAL
Enrollment1,000
Start date1 March 2020
Primary completion1 April 2021
Estimated completion30 October 2021
Sites1 location across France

Drugs / interventions tested

Conditions studied

Sponsor

University Hospital, Montpellier

Who can join

60 and older, any sex, with Painful Hip or Fonctional Impotence After Minor Trauma (Fall). Patients with the condition only — healthy volunteers not accepted.

Sponsor's own description

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.

Publications & conference data

No peer-reviewed publications indexed yet for this trial. Completed trials usually publish results within 12-18 months.

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Other University Hospital, Montpellier trials

Trials by the same sponsor.

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Data sources for this page

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