Clinical application of artificial intelligence-assisted diagnosis using anteroposterior pelvic radiographs in children with developmental dysplasia of the hip.

Journal: The bone & joint journal
Published Date: Nov 1, 2020

Abstract

AIMS: The diagnosis of developmental dysplasia of the hip (DDH) is challenging owing to extensive variation in paediatric pelvic anatomy. Artificial intelligence (AI) may represent an effective diagnostic tool for DDH. Here, we aimed to develop an anteroposterior pelvic radiograph deep learning system for diagnosing DDH in children and analyze the feasibility of its application.

Authors

  • Si-Cheng Zhang
    Department of Paediatric Orthopedics, Anhui Provincial Children's Hospital (Children's Hospital of Anhui Medical University), Hefei, Anhui, China.
  • Jun Sun
    School of Environmental and Chemical Engineering, Jiangsu University of Science and Technology, Zhenjiang 212003, Jiangsu Province, PR China.
  • Chuan-Bin Liu
    School of Information Science and Technology, University of Science and Technology of China, Hefei, Anhui, China.
  • Ji-Hong Fang
    School of Information Science and Technology, University of Science and Technology of China, Hefei, Anhui, China.
  • Hong-Tao Xie
    School of Information Science and Technology, University of Science and Technology of China, Hefei, Anhui, China.
  • Bo Ning
    Department of Paediatric Orthopedics, Children's Hospital of Fudan University, Shanghai, China.

Keywords

External Resources

Popular Topics
Recent Journals