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Clinical Trial 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.


Clinical Trial Description

n/a


Study Design


Related Conditions & MeSH terms


NCT number NCT03773458
Study type Interventional
Source Sun Yat-sen University
Contact
Status Completed
Phase N/A
Start date June 1, 2018
Completion date July 30, 2018

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