Conditional GAN performs better than orthopedic surgeon in virtual reduction of femoral neck fracture.

Journal: BMC musculoskeletal disorders
Published Date: Jul 16, 2025

Abstract

OBJECTIVE: Satisfied reduction of fracture is hard to achieve. The purpose of this study is to develop a virtual fracture reduction technique using conditional GAN (Generative Adversarial Network), and evaluate its performance in simulating and guiding reduction of femoral neck fracture, which is hard to reduce. We compared its reduction quality with manual reduction performed by orthopedic surgeons. It is a pilot study for augmented reality assisted femoral neck fracture surgery.

Authors

  • Keyang Zhao
    Department of Orthopedic Surgery, Shanghai Jiao Tong University Affiliated Sixth People's Hospital, Shanghai Jiao Tong University, Shanghai, 200233, China.
  • Yihan Mei
    School of Computer Science, East China Normal University, Shanghai, China.
  • Xiaoling Wang
    Shanghai Key Lab of Trustworthy Computing, East China Normal University, Shanghai, China.
  • Weihui Ma
    Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong, China.
  • Wei Shen
    Department of General Surgery, Wuxi People's Hospital Affiliated to Nanjing Medical University, Wuxi, China.

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