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

Phases

Unknown

Study type

Observational

Source

ClinicalTrials.gov

Registry ID

NCT04304742

Acronym

RAVIA

Enrollment

1000

Registered

2020-03-11

Start date

2020-03-01

Completion date

2021-10-30

Last updated

2022-04-14

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

Fonctional Impotence After Minor Trauma (Fall), Painful Hip

Keywords

Medical imaging diagnosis, Frature detection, Artificial intelligence, Femoral neck fracture, Hip, X-ray, Radiography

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.

Interventions

PROCEDUREhip standard radiography/ CT scan/ MRI

hip standard radiography/ CT scan/ MRI

Study design

Observational model

CASE_ONLY

Time perspective

RETROSPECTIVE

Eligibility

Sex/Gender

ALL

Age

60 Years to No maximum

Healthy volunteers

Inclusion criteria

* Patients aged 60 and older * Minor trauma * Admitted in emergency department for painful hip/fonctional impotence after minor trauma * Takes at least a hip radiography

Exclusion criteria

* Painful before the minor trauma * Important trauma

Design outcomes

Primary

Measure	Time frame	Description
Detection rate of femoral neck fracture	1 day	Detection rate of femoral neck fracture

Secondary

Measure	Time frame	Description
Detection rate of other hip fracture	1 day	Detection rate of other hip fracture

Countries

France

Outcome results

None listed

Source: ClinicalTrials.gov · Data processed: Feb 4, 2026