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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.
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| Name | Type | Description | Arm Group Labels | Other Names |
|---|---|---|---|---|
| Emergency radiography | Diagnostic Test | The intervention is to determine how the radiographer classify emergency radiography. |
| Measure | Description | Time Frame |
|---|---|---|
| Evaluate the radiographers' diagnostic performance to issue an advisory opinion to X-ray reading of the appendicular skeleton in emergency department | The primary outcome measure evaluation radiographers' diagnostic will use accurancy, sensibility and specificity. | 2 hours |
| Measure | Description | Time Frame |
|---|---|---|
| Quantify the proportion of radiographers reaching the goal of 90% accurancy | This is a proportion in % of performance radiographers' diagnosctic treshold | 4 months |
| Quantify and qualify Radiographers diagnostic changes before and after the in house training. |
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Inclusion Criteria:
Exclusion Criteria:
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Radiographer : a health practionner with official autorisation to use X-ray imagery.
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| Facility | Status | City | State | ZIP | Country | Contacts |
|---|---|---|---|---|---|---|
| C.H.U. de Poitiers | Poitiers | 86000 | France |
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| ID | Term |
|---|---|
| D004630 | Emergencies |
| D004194 | Disease |
| ID | Term |
|---|---|
| D020969 | Disease Attributes |
| D010335 | Pathologic Processes |
| D013568 | Pathological Conditions, Signs and Symptoms |
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This a proportion in % about the progression of performance radiographers'diagnostic in the formation. |
| 4 months |
| Evaluate the performance of the association of AI and radiographer after training | Thiis output is the difference between accurancy, sensibility and sensitivity with or without IA. | 4 months |