Intelligent measurement of adolescent idiopathic scoliosis x-ray coronal imaging parameters based on VB-Net neural network: a retrospective analysis of 2092 cases.

Journal: Journal of orthopaedic surgery and research
Published Date: Jan 3, 2025

Abstract

BACKGROUND: Adolescent idiopathic scoliosis (AIS) is a complex three-dimensional deformity, and up to now, there has been no literature reporting the analysis of a large sample of X-ray imaging parameters based on artificial intelligence (AI) for it. This study is based on the accurate and rapid measurement of x-ray coronal imaging parameters in AIS patients by AI, to explore the differences and correlations, and to further investigate the risk factors in different groups, so as to provide a theoretical basis for the diagnosis and surgical treatment of AIS.

Authors

  • Jinlong Liu
    Institute of Advanced Research, Infervision Medical Technology Co., Ltd, Beijing, China.
  • Haoran Zhang
    Massachusetts Institute of Technology, Cambridge, MA, USA.
  • Pei Dong
  • Danyang Su
    Department of Radiology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China.
  • Zhen Bai
    Department of Radiology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan Province, China.
  • Yuanbo Ma
    Department of Radiology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan Province, China.
  • Qiuju Miao
    Department of Radiology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan Province, China.
  • Shenyu Yang
    Department of Medical Equipment, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, China.
  • Shuaikun Wang
    Beijing United Imaging Research Institute of Intelligent Imaging, Haidian District, Beijing, China.
  • Xiaopeng Yang
    Department of Radiology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China.

Keywords

External Resources

Popular Topics
Recent Journals