Usefulness of an Artificial Intelligence Model in Recognizing Recurrent Laryngeal Nerves During Robot-Assisted Minimally Invasive Esophagectomy.

Journal: Annals of surgical oncology
PMID: 39266790

Abstract

BACKGROUND: Recurrent laryngeal nerve (RLN) palsy is a common complication in esophagectomy and its main risk factor is reportedly intraoperative procedure associated with surgeons' experience. We aimed to improve surgeons' recognition of the RLN during robot-assisted minimally invasive esophagectomy (RAMIE) by developing an artificial intelligence (AI) model.

Authors

  • Tasuku Furube
    Department of Surgery, Keio University School of Medicine, Tokyo, Japan.
  • 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.
  • Kazuhiro Noma
    Department of Gastroenterological Surgery, Okayama University Graduate School of Medicine, Dentistry and Pharmaceutical Sciences, Okayama, Japan.
  • Naoaki Maeda
    Department of Gastroenterological Surgery, Okayama University Graduate School of Medicine, Dentistry and Pharmaceutical Sciences, Okayama, Japan.
  • Hiroyuki Daiko
    Division of Esophageal Surgery, National Cancer Center Hospital, Tokyo, Japan.
  • Koshiro Ishiyama
    Department of Esophageal Surgery, National Cancer Center Hospital, Chuo City, Tokyo, Japan.
  • Koji Otsuka
    Esophageal Cancer Center, Showa University Hospital, Shinagawa City, Tokyo, Japan.
  • Yoshihito Sato
    Esophageal Cancer Center, Showa University Hospital, Shinagawa City, Tokyo, Japan.
  • Kazuo Koyanagi
    Department of Gastroenterological Surgery, Tokai University School of Medicine, Isehara, Kanagawa, Japan.
  • Kohei Tajima
    Department of Gastroenterological Surgery, Tokai University School of Medicine, Isehara, Kanagawa, Japan.
  • Rodrigo Nicida Garcia
    Department of Gastroenterology, Digestive Surgery Division, Hospital das Clínicas HCFMUSP, Faculdade de Medicina, Universidade de São Paulo, São Paulo, Brazil.
  • Yusuke Maeda
    Department of Surgery, Keio University School of Medicine, Tokyo, Japan.
  • Satoru Matsuda
    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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