Development of an automatic surgical planning system for high tibial osteotomy using artificial intelligence.

Journal: The Knee
PMID: 38599029

Abstract

BACKGROUND: This study proposed an automatic surgical planning system for high tibial osteotomy (HTO) using deep learning-based artificial intelligence and validated its accuracy. The system simulates osteotomy and measures lower-limb alignment parameters in pre- and post-osteotomy simulations.

Authors

  • Kazuki Miyama
    Department of Orthopaedic Surgery, Graduate School of Medical Sciences, Kyushu University, 3-1-1 Maidashi, Higashi-Ku, Fukuoka, 812-8582, Japan. kazuki.miyama@human.ait.kyushu-u.ac.jp.
  • Takenori Akiyama
    Department of Orthopaedic Surgery, Graduate School of Medical Sciences, Kyushu University, 3-1-1 Maidashi, Higashi-Ku, Fukuoka 812-8582, Japan; Akiyama Clinic, 2-28-39, Noke, Sawaraku, Fukuoka City, Fukuoka 814-0171, Japan.
  • Ryoma Bise
  • Shunsuke Nakamura
    Akiyama Clinic, 2-28-39, Noke, Sawaraku, Fukuoka City, Fukuoka 814-0171, Japan.
  • Yasuharu Nakashima
    Department of Orthopaedic Surgery, Graduate School of Medical Sciences, Kyushu University, 3-1-1 Maidashi, Higashi-Ku, Fukuoka, 812-8582, Japan.
  • Seiichi Uchida

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