Status:
COMPLETED
Artificial Intelligence and Scoliosis
Lead Sponsor:
Delta University for Science and Technology
Conditions:
Scoliosis Patients
Eligibility:
All Genders
15-37 years
Brief Summary
The aim of the study to use artificial intelligence technology in assessment of scoliosis degree of severity and to personalize for treatment plan for each pa tient .
Detailed Description
Although attention in AI related to healthcare is expanding, there hast been much progress in translating or implementing these technologies for clinical usage. Therefore, as we conduct our research, ...
Eligibility Criteria
Inclusion
- ). Patient with scoliosis were
- diagnosed with scoliosis for different etiology.
- Clear X- Ray for spine for all spinal curvatures including; cervical, thoracic and lumber(PA)view.
- C shaped and double C shape scoliosis such as (Thoracolumbar-cervicothoracic scoliosis).
- Mild, moderate and severe scoliotic degrees.
- Adolescents with mean age 17 years old
- Male and female gender
Exclusion
- children with scoliosis
- age less than 12 years old .
- lateral view spine x- ray.
Key Trial Info
Start Date :
July 1 2024
Trial Type :
OBSERVATIONAL
Allocation :
ACTUAL
End Date :
September 1 2024
Estimated Enrollment :
5000 Patients enrolled
Trial Details
Trial ID
NCT06589583
Start Date
July 1 2024
End Date
September 1 2024
Last Update
September 20 2024
Active Locations (1)
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1
Delta university
Gamasa, Dakahlia Governorate, Egypt, 35511