Artificial Intelligence-Based Surgery Support Model Using Intraoperative Radiographs for Assessing the Acetabular Component Angle.

Journal: The Journal of arthroplasty
PMID: 39277060

Abstract

BACKGROUND: This study aimed to develop an artificial intelligence-based surgical support model for assessing the acetabular component angle using intraoperative radiographs during total hip arthroplasty and verify its accuracy.

Authors

  • Yoshitomo Saiki
    Faculty of Health Science, Department of Rehabilitation Physical Therapy, Fukui Health Science University, Fukui City, Fukui, Japan; Department of Orthopaedic Surgery, Graduate School of Medical Sciences, Kanazawa University, Kanazawa City, Ishikawa, Japan.
  • Tamon Kabata
    Department of Orthopaedic Surgery, Graduate School of Medical Science, Kanazawa University, Japan.
  • Yoshitomo Kajino
    Department of Orthopaedic Surgery, Graduate School of Medical Sciences, Kanazawa University, Kanazawa City, Ishikawa, Japan.
  • Shogo Okada
    Division of Advanced Science and Technology, Japan Advanced Institute of Science and Technology, Nomi City, Ishikawa, Japan.
  • Junya Yoshitani
    Department of Orthopaedic Surgery, Graduate School of Medical Sciences, Kanazawa University, Kanazawa City, Ishikawa, Japan.
  • Satoru Demura
    Department of Orthopaedic Surgery, Graduate School of Medical Sciences, Kanazawa University, Kanazawa City, Ishikawa, Japan.

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