Expanding from unilateral to bilateral: A robust deep learning-based approach for predicting radiographic osteoarthritis progression.

Journal: Osteoarthritis and cartilage
Published Date: Dec 17, 2023

Abstract

OBJECTIVE: To develop and validate a deep learning (DL) model for predicting osteoarthritis (OA) progression based on bilateral knee joint views.

Authors

  • Rui Yin
    Department of Health Outcomes and Biomedical Informatics, University of Florida, Gainesville, College of Medicine, FL, USA. Electronic address: ruiyin@ufl.edu.
  • Hao Chen
    The First School of Medicine, Wenzhou Medical University, Wenzhou, China.
  • Tianqi Tao
    Department of Geriatrics, The Second Medical Center, National Clinical Research Center for Geriatric Diseases, Chinese PLA General Hospital, Beijing, 100853, China. ttqtxt@163.com.
  • Kaibin Zhang
    Department of Sports Medicine and Joint Surgery, Nanjing First Hospital, Nanjing, China. Electronic address: kaibin_zhang09@163.com.
  • Guangxu Yang
    Department of Orthopedic Surgery, Nanjing Pukou Hospital, Nanjing, China. Electronic address: yangguangxu1980@163.com.
  • Fajian Shi
    Department of Orthopedic Surgery, Nanjing Pukou Hospital, Nanjing, China. Electronic address: jbgk@sina.com.
  • Yiqiu Jiang
    Department of Orthopedics, Nanjing First Hospital, Nanjing Medical University, Nanjing 210006, China.
  • Jianchao Gui
    Nanjing Medical University, Nanjing, China; Department of Sports Medicine and Joint Surgery, Nanjing First Hospital, Nanjing, China. Electronic address: gui1997@126.com.

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