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Radiologist Diagnostic Performance Versus Artificial Intelligence (AI)

NCT04304742 · Status: COMPLETED · Type: OBSERVATIONAL · Enrollment: 1000

Last updated 2022-04-14

No results posted yet for this study

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

PROCEDURE

hip standard radiography/ CT scan/ MRI

hip standard radiography/ CT scan/ MRI

Sponsors & Collaborators

  • University Hospital, Montpellier

    lead OTHER

Principal Investigators

  • Catherine CYTEVAL, MD.PhD · University Hospital, Montpellier

Eligibility

Min Age
60 Years
Sex
ALL
Healthy Volunteers
No

Timeline & Regulatory

Start
2020-03-01
Primary Completion
2021-04-01
Completion
2021-10-30

Countries

  • France

Study Locations

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Read the full study record

This page highlights key information. For complete eligibility criteria, study locations, investigator contacts, and the full protocol, visit the original record on ClinicalTrials.gov.

View NCT04304742 on ClinicalTrials.gov