Performance of an artificial intelligence-based diagnostic support tool for early gastric cancers: Retrospective study.

Journal: Digestive endoscopy : official journal of the Japan Gastroenterological Endoscopy Society
Published Date: Nov 17, 2022

Abstract

OBJECTIVES: Endoscopists' abilities to diagnose early gastric cancers (EGCs) vary, especially between specialists and nonspecialists. We developed an artificial intelligence (AI)-based diagnostic support tool "Tango" to differentiate EGCs and compared its performance with that of endoscopists.

Authors

  • Mitsuaki Ishioka
  • Hiroyuki Osawa
    Division of Gastroenterology, Department of Medicine, Jichi Medical University, Tochigi, Japan.
  • Toshiaki Hirasawa
    Department of Gastroenterology, Cancer Institute Hospital Ariake, Japanese Foundation for Cancer Research, 3-10-6 Ariake, Koto-ku, Tokyo, 135-8550, Japan. toshiaki.hirasawa@jfcr.or.jp.
  • Hiroshi Kawachi
    Division of Pathology, The Cancer Institute; Department of Pathology, The Cancer Institute Hospital, Japanese Foundation for Cancer Research, Tokyo, Japan.
  • Kaoru Nakano
  • Noriyoshi Fukushima
    Department of Pathology, Jichi Medical University, Shimotsuke, Tochigi, 329-0498, Japan.
  • Mio Sakaguchi
    Department of Pathology, Jichi Medical University, Tochigi, Japan.
  • Tomohiro Tada
    AI Medical Service Inc Tokyo Japan.
  • Yusuke Kato
    AI Medical Service Inc., Tokyo, Japan.
  • Junichi Shibata
  • Tsuyoshi Ozawa
    Tada Tomohiro Institute of Gastroenterology and Proctology, Saitama, Japan.
  • Hisao Tajiri
    The Jikei University School of Medicine, Tokyo, Japan.
  • Junko Fujisaki
    Department of Gastroenterology, Cancer Institute Hospital Ariake, Japanese Foundation for Cancer Research, 3-10-6 Ariake, Koto-ku, Tokyo, 135-8550, Japan.

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