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Current Status and Challenges in Artificial Intelligence Integration in Endoscopy in the West Yuichi Mori 1,2 , Shin-ei Kudo 3 , Masashi Misawa 3 1Clinical Effectiveness Research Group, Institute of Health and Society, University of Oslo, Oslo, Norway 2Gastroenterology Section, Department of Transplantation Medicine, Oslo University Hospital, Oslo, Norway 3Digestive Disease Center, Showa Medical University Northern Yokohama Hospital, Yokohama, Japan Keyword: 内視鏡 , 人工知能 , 大腸ポリープ , Barrett食道 pp.1039-1043
Published Date 2025/8/25
DOI https://doi.org/10.11477/mf.053621800600081039
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 The introduction of artificial intelligence(AI)into endoscopic diagnosis has attracted much attention. In Western countries, randomized trials have shown that the AI implementation for computer-aided detection(CADe)of colorectal polyps can increase the tumor detection rates by 5%−15%. Contrarily, there is insufficient evidence regarding the use of AI for computer-aided diagnosis of colorectal polyps and tumors in other organs. In March 2025, the guidelines for CADe of colorectal polyps were published by the following three organizations:British Medical Journal, American Gastroenterological Association, and European Society of Gastrointestinal Endoscopy. Despite being based on the same evidence, the recommendations varied, stemming from the fact that, although the benefits of CADe are limited, the burden of increased surveillance endoscopy was considered significant. It is essential to understand both the effectiveness and limitations of AI and to proceed cautiously with its clinical implementation.


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電子版ISSN 1882-1219 印刷版ISSN 0536-2180 医学書院

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