NCT03773458

Validation of the Utility of an Artificial System for the Large-scale Screening of Scoliosis

Validation of the Utility of an Artificial System for the Large-scale Screening of Scoliosis Using Back Images

• Status: Completed
• Phase: N/A
• Study type: Interventional
• Enrollment: 500 (actual)
• Sponsor: Sun Yat-sen University · Academic / Other
• Sex: —
• Age: 10 Years – 22 Years
• Healthy volunteers: Accepted

Summary

Traditional school scoliosis screening approaches remains debatable due to unnecessary referal and excessive cost. Deep learning algorithms have proven to be powerful tools for the detection of multiple diseases; however, the application of such methods in scoliosis screening requires further assessment and validation. Here, the investigators develop an artificial system for the automated screening of scoliosis using disrobed back images, and conduct clinical trial to validate if the diagnostic system can offsetting the shortcomings of human doctors.

Conditions

• Orthopedic Disorder of Spine
• Artificial Intelligence
• Scoliosis

Interventions

Type	Name	Description
DEVICE	An artificial system for the screening of scoliosis	An artificial intelligence to make evaluation of scoliosis using back images

Timeline

• Start date: 2018-06-01
• Primary completion: 2018-07-30
• Completion: 2018-07-30
• First posted: 2018-12-12
• Last updated: 2018-12-12

Locations

1 site across 1 country: China