hip fracture Hip fracture ,film hip , compare artificial intelligence
Conditions
Interventions
The intervention involves the deployment of a YOLOv8-based artificial intelligence system designed specifically for the task of diagnosing hip fractures from radiographic images,the diagnostic process
Experimental Other,Experimental Other
Artificial Intelligence ,Physician
Sponsors
Samut sakhon hospital
Eligibility
Sex/Gender
All
Inclusion criteria
Inclusion criteria: X-ray Images: - X-ray images showing clear views of the hip area, suitable for diagnosing fractures. - Images must include cases of neck of femur fractures, intertrochanteric fractures, and normal hip conditions. - Each category should have an equal number of images to ensure balanced representation. Physicians: - Junior doctors in their first three years of training. - Radiologists with experience in diagnosing bone injuries. - Emergency physicians who handle acute cases including hip fractures. - Orthopedic surgeons specialized in treating bone fractures
Exclusion criteria
Exclusion criteria: X-ray Images: - Images that are blurred or obscured, which do not allow clear visibility of the hip structure. - Images with previous surgical interventions in the hip area that might distort the normal anatomy or the appearance of fractures. - X-rays that include hardware, such as plates or screws, which could interfere with image analysis both by the AI and the physicians
Design outcomes
Primary
| Measure | Time frame |
|---|---|
| Diagnostic Accuracy within one year Sensitivity and Specificity | — |
Secondary
| Measure | Time frame |
|---|---|
| N/A - - | — |
Countries
Thailand
Contacts
Public Contactwithoone kittipichai
Samut sakhon hospital
Outcome results
None listed