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
- 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.
- The device demonstrates promising performance in scoliosis assessment.
- 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.