Development and accuracy of an artificial intelligence model for predicting the progression of hip osteoarthritis using plain radiographs and clinical data: a retrospective study.

Journal: BMC musculoskeletal disorders
PMID: 39516784

Abstract

BACKGROUND: Predicting the progression of hip osteoarthritis (OA) remains challenging, and no reliable predictive method has been established. This study aimed to develop an artificial intelligence (AI) model to predict hip OA progression via plain radiographs and patient data and to determine its accuracy.

Authors

  • Ryo Hidaka
    Department of Orthopaedic Surgery, Teikyo University School of Medicine, 2-11-1 Kaga, Itahashi-ku, Tokyo, 173-8606, Japan. qqdr59qd@yahoo.co.jp.
  • Kenta Matsuda
    Department of Orthopaedic Surgery, Teikyo University School of Medicine, 2-11-1 Kaga, Itahashi-ku, Tokyo, 173-8606, Japan.
  • Takashi Igari
    Technology Administration Supervision, FUJISOFT INCORPORATED, 1-1 Sakuragi-cho, Naka-ku, Yokohama-shi, Kanagawa, 231-8008, Japan.
  • Shu Takeuchi
    Technology Administration Supervision, FUJISOFT INCORPORATED, 1-1 Sakuragi-cho, Naka-ku, Yokohama-shi, Kanagawa, 231-8008, Japan.
  • Yuichi Imoto
    Department of Orthopaedic Surgery, Teikyo University School of Medicine, 2-11-1 Kaga, Itahashi-ku, Tokyo, 173-8606, Japan.
  • Satoshi Yagi
    Department of Engineering Science, Osaka University, Toyonaka, Osaka, Japan.
  • Hirotaka Kawano
    Department of Orthopaedic Surgery, Teikyo University School of Medicine, 2-11-1 Kaga, Itahashi-ku, Tokyo, 173-8606, Japan.

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