Deep learning approach for guiding three-dimensional computed tomography reconstruction of lower limbs for robotically-assisted total knee arthroplasty.

Journal: The international journal of medical robotics + computer assisted surgery : MRCAS
Published Date: Jun 14, 2021

Abstract

BACKGROUND: Robotic-assisted total knee arthroplasty (TKA) was performed to promote the accuracy of bone resection and mechanical alignment. Among these TKA system procedures, 3D reconstruction of CT data of lower limbs consumes significant manpower. Artificial intelligence (AI) algorithms applying deep learning has been proved efficient in automated identification and visual processing.

Authors

  • Zheng Li
    Department of Integrated Pulmonology, Fourth Clinical Medical College of Xinjiang Medical University, Urumqi, Xinjiang, China.
  • Xiaofeng Zhang
    College of Medicine, Xi'an International University, Shaanxi, P. R. China.
  • Lele Ding
    BEIJING HURWA-ROBOT Medical Technology Co. Ltd, Beijing, China.
  • Kebin Du
    BEIJING HURWA-ROBOT Medical Technology Co. Ltd, Beijing, China.
  • Jun Yan
    Department of Statistics, University of Connecticut, Storrs, CT 06269, USA.
  • Matthew T V Chan
    Department of Anaesthesia and Intensive Care and Peter Hung Pain Research Institute, The Chinese University of Hong Kong, Hong Kong.
  • William K K Wu
    Li Ka Shing Institute of Health Sciences, The Chinese University of Hong Kong, Hong Kong, China.
  • Shugang Li
    Department of Public Health, Shihezi University School of Medicine, 832000, China.

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