Artificial intelligence improves the accuracy of residents in the diagnosis of hip fractures: a multicenter study.

Journal: BMC musculoskeletal disorders
Published Date: May 3, 2021

Abstract

BACKGROUND: Less experienced clinicians sometimes make misdiagnosis of hip fractures. We developed computer-aided diagnosis (CAD) system for hip fractures on plain X-rays using a deep learning model trained on a large dataset. In this study, we examined whether the accuracy of the diagnosis of hip fracture of the residents could be improved by using this system.

Authors

  • Yoichi Sato
    Department of Orthopedics Surgery, Gamagori City Hospital, Gamagori, Japan. yoichisugar.trauma@gmail.com.
  • Yasuhiko Takegami
    Department of Orthopedic Surgery, Nagoya University Graduate School of Medicine, Nagoya, Japan.
  • Takamune Asamoto
    Nonprofit Organization (NPO) Nagoya Orthopedic Regional Healthcare Support Center, AI Research Division, Meitohonmachi 2-22-1, Meito-ward, Nagoya, Japan.
  • Yutaro Ono
    Nonprofit Organization (NPO) Nagoya Orthopedic Regional Healthcare Support Center, AI Research Division, Meitohonmachi 2-22-1, Meito-ward, Nagoya, Japan.
  • Tsugeno Hidetoshi
    Nonprofit Organization (NPO) Nagoya Orthopedic Regional Healthcare Support Center, AI Research Division, Meitohonmachi 2-22-1, Meito-ward, Nagoya, Japan.
  • Ryosuke Goto
    Search Space Inc., Tokyo 151-0072, Japan.
  • Akira Kitamura
  • Seiwa Honda
    Nonprofit Organization (NPO) Nagoya Orthopedic Regional Healthcare Support Center, AI Research Division, Meitohonmachi 2-22-1, Meito-ward, Nagoya, Japan.

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