External validation of a deep learning model for predicting bone mineral density on chest radiographs.

Journal: Archives of osteoporosis
PMID: 38472499

Abstract

UNLABELLED: We developed a new model for predicting bone mineral density on chest radiographs and externally validated it using images captured at facilities other than the development environment. The model performed well and showed potential for clinical use.

Authors

  • Takamune Asamoto
    Nonprofit Organization (NPO) Nagoya Orthopedic Regional Healthcare Support Center, AI Research Division, Meitohonmachi 2-22-1, Meito-ward, Nagoya, Japan.
  • Yasuhiko Takegami
    Department of Orthopedic Surgery, Nagoya University Graduate School of Medicine, Nagoya, Japan.
  • Yoichi Sato
    Department of Orthopedics Surgery, Gamagori City Hospital, Gamagori, Japan. yoichisugar.trauma@gmail.com.
  • Shunsuke Takahara
    Department of Orthopaedic Surgery, Hyogo Prefectural Kakogawa Medical Center, Kakogawa, Hyogo, Japan.
  • Norio Yamamoto
    Department of Orthopaedic Surgery, Kagawa Prefectural Central Hospital, Takamatsu, Kagawa 760-8557, Japan.
  • Naoya Inagaki
    Department of Orthopaedic Surgery, The Jikei University Kashiwa Hospital, Chiba, Japan.
  • Satoshi Maki
    Department of Orthopedic Surgery, Graduate School of Medicine, Chiba University, Japan; Center for Frontier Medical Engineering, Chiba University, Japan. Electronic address: satoshimaki@gmail.com.
  • Mitsuru Saito
    Department of Urology, Akita University School of Medicine, Akita.
  • Shiro Imagama
    Department of Orthopedic Surgery, Nagoya University Graduate School of Medicine, Nagoya, Japan.

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