Artificial intelligence versus expert endoscopists for diagnosis of gastric cancer in patients who have undergone upper gastrointestinal endoscopy.

Journal: Endoscopy
Published Date:

Abstract

AIMS: To compare endoscopy gastric cancer images diagnosis rate between artificial intelligence (AI) and expert endoscopists.

Authors

  • Ryota Niikura
    Department of Gastroenterology, 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.
  • Satoki Shichijo
    Department of Gastrointestinal Oncology Osaka International Cancer Institute Osaka Japan.
  • Atsuo Yamada
    Department of Gastroenterology, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan.
  • Takuya Kawahara
    Clinical Research Promotion Center, The University of Tokyo Hospital, Tokyo, Japan.
  • Yusuke Kato
    AI Medical Service Inc., Tokyo, Japan.
  • Yoshihiro Hirata
    Department of Gastroenterology, Graduate School of Medicine, the University of Tokyo, Tokyo, Japan.
  • Yoku Hayakawa
    Department of Gastroenterology, Graduate School of Medicine, the University of Tokyo, Tokyo, Japan.
  • Nobumi Suzuki
    Department of Gastroenterology, Graduate School of Medicine, the University of Tokyo, Tokyo, Japan.
  • Masanori Ochi
    Department of Gastroenterology, Graduate School of Medicine, The University of Tokyo, 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.
  • Tomohiro Tada
    AI Medical Service Inc Tokyo Japan.
  • Takashi Kawai
    Department of Intermedia Art and Science, School of Fundamental Science and Engineering, Waseda University, Shinjuku, Tokyo, 169-8555, Japan.
  • Kazuhiko Koike
    Department of Gastroenterology, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan.