A Deep-Learning Aided Diagnostic System in Assessing Developmental Dysplasia of the Hip on Pediatric Pelvic Radiographs.

Journal: Frontiers in pediatrics
Published Date: Mar 8, 2022

Abstract

BACKGROUND: Developmental dysplasia of the hip (DDH) is a common orthopedic disease in children. In clinical surgery, it is essential to quickly and accurately locate the exact position of the lesion, and there are still some controversies relating to DDH status. We adopt artificial intelligence (AI) to solve the above problems.

Authors

  • Weize Xu
    The Children's Hospital, Zhejiang University School of Medicine, Hangzhou, China.
  • Liqi Shu
    Department of Neurology, The Warren Alpert Medical School of Brown University, Providence, RI, United States.
  • Ping Gong
    Deepwise AI Lab, Beijing Deepwise & League of PHD Technology Co., Ltd., Beijing, China.
  • Chencui Huang
    Department of Research Collaboration, R&D Center, Beijing Deepwise & League of PHD Technology Co., Ltd., Beijing, China.
  • Jingxu Xu
    Department of Research Collaboration, R&D Center, Beijing Deepwise & League of PHD Technology Co., Ltd., Beijing, China.
  • Jingjiao Zhao
    Deepwise AI Lab, Beijing Deepwise & League of PHD Technology Co., Ltd., Beijing, China.
  • Qiang Shu
    Cardiac Surgery,Children's Hospital, Zhejiang University School of Medicine, 310052 Hangzhou, Zhejiang, China.
  • Ming Zhu
    The Children's Hospital, Zhejiang University School of Medicine, Hangzhou, China.
  • Guoqiang Qi
    The Children's Hospital, Zhejiang University School of Medicine, Hangzhou, China.
  • Guoqiang Zhao
    The Children's Hospital, Zhejiang University School of Medicine, Hangzhou, China.
  • Gang Yu
    The Children's Hospital, Zhejiang University School of Medicine, Hangzhou, China.

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