Utilizing artificial intelligence in endoscopy: a clinician's guide.

Journal: Expert review of gastroenterology & hepatology
PMID: 32500760

Abstract

INTRODUCTION: Artificial intelligence (AI) that surpasses human ability in image recognition is expected to be applied in the field of gastrointestinal endoscopes. Accordingly, its research and development (R &D) is being actively conducted. With the development of endoscopic diagnosis, there is a shortage of specialists who can perform high-precision endoscopy. We will examine whether AI with excellent image recognition ability can overcome this problem.

Authors

  • Ken Namikawa
  • 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.
  • Toshiyuki Yoshio
    Department of Gastroenterology, Cancer Institute Hospital, Japanese Foundation for Cancer Research, Tokyo, Japan; Tada Tomohiro Institute of Gastroenterology and Proctology, Saitama, 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.
  • Tsuyoshi Ozawa
    Tada Tomohiro Institute of Gastroenterology and Proctology, Saitama, Japan.
  • Soichiro Ishihara
    Tada Tomohiro Institute of Gastroenterology and Proctology, Saitama, Japan; Surgery Department, Sanno Hospital, International University of Health and Welfare, Tokyo, Japan; Department of Surgical Oncology, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan.
  • Tomonori Aoki
    Department of Gastroenterology, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan.
  • Atsuo Yamada
    Department of Gastroenterology, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan.
  • Kazuhiko Koike
    Department of Gastroenterology, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan.
  • Hideo Suzuki
    Department of Gastroenterology, Graduate School of Institute Clinical Medicine, University of Tsukuba , Ibaraki, Japan.
  • Tomohiro Tada
    AI Medical Service Inc Tokyo Japan.

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