Deep learning-based diagnostic model for predicting complications after gastrectomy.

Journal: Asian journal of endoscopic surgery
Published Date: Nov 9, 2022

Abstract

BACKGROUND: Gastric cancer is one of the leading causes of cancer deaths, and gastrectomy with lymph node dissection is the mainstay of treatment. Despite clinician efforts and advances in surgical methods, the incidence of complications after gastrectomy remains 10%-20% including fatalities. To the best of our knowledge, this is the first report on utilization of a deep learning method to build a new artificial intelligence model that could help surgeons diagnose these complications.

Authors

  • Ryosuke Fukuyo
    Department of Gastrointestinal surgery, Tokyo Medical and Dental University, Tokyo, Japan.
  • Masanori Tokunaga
    Department of Gastrointestinal surgery, Tokyo Medical and Dental University, Tokyo, Japan.
  • Yuya Umebayashi
    Department of Gastrointestinal surgery, Tokyo Medical and Dental University, Tokyo, Japan.
  • Toshifumi Saito
    Department of Gastrointestinal surgery, Tokyo Medical and Dental University, Tokyo, Japan.
  • Keisuke Okuno
  • Yuya Sato
    Department of Gastrointestinal surgery, Tokyo Medical and Dental University, Tokyo, Japan.
  • Katsumasa Saito
    Department of Gastrointestinal surgery, Tokyo Medical and Dental University, Tokyo, Japan.
  • Naoto Fujiwara
    Department of Gastrointestinal surgery, Tokyo Medical and Dental University, Tokyo, Japan.
  • Yusuke Kinugasa

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