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PARamedical Abnormalties Detection of Traumatic Bone Lesion of the extremitIeS

Completed
Conditions
Radiography
Diagnostic
Emergencies
Registration Number
NCT05076188
Lead Sponsor
Poitiers University Hospital
Brief Summary

This study assesses the performance of radiographers in detecting radiological anomalies of the appendicular skeleton in emergency department. This is a retrospective study comparing the radiographers' diagnostic performance before and after dedicated training, assisted or not by artificial intelligence software. All performances will be evaluated and compared.

Detailed Description

Not available

Recruitment & Eligibility

Status
COMPLETED
Sex
All
Target Recruitment
19
Inclusion Criteria
  • Working in an emergency radiography department Volunteer to participate in the study
Exclusion Criteria
  • Planned departure from the establishment within 12 months.

Study & Design

Study Type
OBSERVATIONAL
Study Design
Not specified
Primary Outcome Measures
NameTimeMethod
Evaluate the radiographers' diagnostic performance to issue an advisory opinion to X-ray reading of the appendicular skeleton in emergency department2 hours

The primary outcome measure evaluation radiographers' diagnostic will use accurancy, sensibility and specificity.

Secondary Outcome Measures
NameTimeMethod
Quantify the proportion of radiographers reaching the goal of 90% accurancy4 months

This is a proportion in % of performance radiographers' diagnosctic treshold

Quantify and qualify Radiographers diagnostic changes before and after the in house training.4 months

This a proportion in % about the progression of performance radiographers'diagnostic in the formation.

Evaluate the performance of the association of AI and radiographer after training4 months

Thiis output is the difference between accurancy, sensibility and sensitivity with or without IA.

Trial Locations

Locations (1)

C.H.U. de Poitiers

🇫🇷

Poitiers, France

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