An interpretable machine learning approach for predicting and grading hip osteoarthritis using gait analysis.

Journal: BMC musculoskeletal disorders
Published Date: Jul 1, 2025

Abstract

BACKGROUND: Osteoarthritis (OA) of the hip is a progressive musculoskeletal disorder characterized by stiffness and limited passive range of motion. Hip OA patients experience mobility impairment and altered gait patterns when compared to healthy controls (HCs). Although various interventions have been designed to alleviate these symptoms, it is unclear if there is a reliable method to track biomechanical changes in patients with unilateral hip OA in a clinical setting.

Authors

  • Qing Yang
    School of Nursing, Chengdu Medical College, Chengdu, China.
  • Xinyu Ji
    Department of Thoracic Surgery, The First Hospital of China Medical University, Liaoning, Shenyang, China.
  • Yuyan Zhang
    College of Life Science, Zhejiang Chinese Medical University, Hangzhou, China.
  • Shaoyi Du
    Institute of Artificial Intelligence and Robotics, Xian Jiaotong University, Xian Shanxi Province, China.
  • Bing Ji
    School of Control Science and Engineering, Shandong University, Jinan, Shandong, China.
  • Wei Zeng
    State Key Laboratory of Oral Diseases & National Center for Stomatology & National Clinical Research Center for Oral Diseases & Department of Oral and Maxillofacial Surgery, West China Hospital of Stomatology, Sichuan University, Chengdu, China.

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