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Review
. 2025 Oct;37(10):1116-1122.
doi: 10.1111/den.15075. Epub 2025 Jun 30.

Artificial Intelligence in Gastrointestinal Endoscopy: The Japan Gastroenterological Endoscopy Society Position Statements

Yuichi Mori  1   2   3 , Ryu Ishihara  4 , Haruhiko Ogata  5 , Hiromu Kutsumi  6 , Yutaka Saito  7 , Kazuki Sumiyama  8 , Masau Sekiguchi  9 , Hisao Tajiri  10 , Mitsuhiro Fujishiro  11 , Koji Matsuda  12 , Tomonori Yano  13 , Rika Aoki  14 , Misaki Ishiyama  15 , Atsushi Imagawa  16 , Masami Omae  17 , Yasushi Oda  18 , Motohiko Kato  19 , Taku Sakamoto  20 , Maasa Sasabe  21 , Akiko Shiotani  22 , Shiho Suzuki  23 , Naoto Tamai  8 , Takuto Hikichi  24 , Toshiaki Hirasawa  25 , Mai Makiguchi  26 , Masashi Misawa  3 , Yohei Yabuuchi  27 , Daisuke Yamaguchi  28 , Masayoshi Yamada  26 , Yoshinori Igarashi  29 , Shinji Tanaka  30
Affiliations
Review

Artificial Intelligence in Gastrointestinal Endoscopy: The Japan Gastroenterological Endoscopy Society Position Statements

Yuichi Mori et al. Dig Endosc. 2025 Oct.

Abstract

Research and development of artificial intelligence (AI) in the field of gastrointestinal endoscopy is progressing rapidly. In Japan alone, there are more than 10 AI-assisted endoscopic medical devices that have received regulatory approval, and numerous randomized controlled trials have been published both domestically and internationally. However, the adoption of AI in clinical practice has not been smooth due to factors such as insufficient evaluation of the balance between clinical benefits and harms, unclear cost-effectiveness, the lack of reliable guidelines, and the absence of established reimbursement systems for medical fees. Considering this situation, the Japan Gastroenterological Endoscopy Society (JGES) presents its perspective on the status of AI in endoscopic practice in the form of the following position statements. This comprises nine statements developed by the JGES AI Committee in collaboration with a diverse panel of members. These statements comprehensively address issues related to the quality of endoscopic examinations, cost-effectiveness, clinical disadvantages, preparatory knowledge, medical safety, and legal responsibilities. They have been developed to be practical and useful in actual endoscopy settings.

Keywords: artificial intelligence; cancer; colonoscopy; computer‐aided diagnosis; polyp; upper gastrointestinal endoscopy.

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