Automated Surgical-Phase Recognition for Robot-Assisted Minimally Invasive Esophagectomy Using Artificial Intelligence.

Journal: Annals of surgical oncology
Published Date: Jun 28, 2022

Abstract

BACKGROUND: Although a number of robot-assisted minimally invasive esophagectomy (RAMIE) procedures have been performed due to three-dimensional field of view, image stabilization, and flexible joint function, both the surgeons and surgical teams require proficiency. This study aimed to establish an artificial intelligence (AI)-based automated surgical-phase recognition system for RAMIE by analyzing robotic surgical videos.

Authors

  • Masashi Takeuchi
    Department of Surgery Keio University School of Medicine Tokyo Japan.
  • Hirofumi Kawakubo
    Department of Surgery, Keio University School of Medicine, 35 Shinanomachi, Shinjuku-ku, Tokyo, 160-8582, Japan.
  • Kosuke Saito
    Department of Surgery, Keio University School of Medicine, Tokyo, Japan.
  • Yusuke Maeda
    Department of Surgery, Keio University School of Medicine, Tokyo, Japan.
  • Satoru Matsuda
    Department of Surgery, Keio University School of Medicine, Tokyo, Japan.
  • Kazumasa Fukuda
    Department of Surgery, Keio University School of Medicine, Tokyo, Japan.
  • Rieko Nakamura
    Department of Surgery, Keio University School of Medicine, Tokyo, Japan.
  • Yuko Kitagawa
    Department of Surgery Keio University School of Medicine Tokyo Japan.

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