Light-based depth-sensing device with deep learning to measure spinal deformity: abridged secondary publication
T Zhang1, JPY Cheung1, KKY Wong2
1 Department of Orthopaedics and Traumatology, The University of Hong Kong, Hong Kong SAR, China
2 Department of Computer Science, The University of Hong Kong, Hong Kong SAR, China
 
 
  1. A light-based depth-sensing device with deep learning offers a rapid, non-invasive method for spine examination and has potential for integration into routine scoliosis screening for adolescents.
  2. The device demonstrates promising performance in scoliosis assessment.
  3. This screening tool may be beneficial in resource-constrained or remote regions such as those with a shortage of radiographic medical imaging devices or specialists.