{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,10,14]],"date-time":"2026-10-14T15:26:40Z","timestamp":1791991600854,"version":"4.4.0"},"reference-count":32,"publisher":"Wiley","issue":"4","license":[{"start":{"date-parts":[[2023,3,13]],"date-time":"2023-03-13T00:00:00Z","timestamp":1678665600000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"DOI":"10.13039\/501100000780","name":"European Commission","doi-asserted-by":"publisher","award":["Horizon Europe 101057099"],"award-info":[{"award-number":["Horizon Europe 101057099"]}],"id":[{"id":"10.13039\/501100000780","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001691","name":"Japan Society for the Promotion of Science","doi-asserted-by":"publisher","award":["22H03357"],"award-info":[{"award-number":["22H03357"]}],"id":[{"id":"10.13039\/501100001691","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["onlinelibrary.wiley.com"],"crossmark-restriction":true},"short-container-title":["Digestive Endoscopy"],"published-print":{"date-parts":[[2023,5]]},"abstract":"<jats:p>The number of artificial intelligence (AI) tools for colonoscopy on the market is increasing with supporting clinical evidence. Nevertheless, their implementation is not going smoothly for a variety of reasons, including lack of data on clinical benefits and cost\u2010effectiveness, lack of trustworthy guidelines, uncertain indications, and cost for implementation. To address this issue and better guide practitioners, the World Endoscopy Organization (WEO) has provided its perspective about the status of AI in colonoscopy as the position statement. <jats:bold>WEO Position Statement<\/jats:bold>: Statement 1.1: Computer\u2010aided detection (CADe) for colorectal polyps is likely to improve colonoscopy effectiveness by reducing adenoma miss rates and thus increase adenoma detection; Statement 1.2: In the short\u00a0term, use of CADe is likely to increase health\u2010care costs by detecting more adenomas; Statement 1.3: In the long\u00a0term, the increased cost by CADe could be balanced by savings in costs related to cancer treatment (surgery, chemotherapy, palliative care) due to CADe\u2010related cancer prevention; Statement 1.4: Health\u2010care delivery systems and authorities should evaluate the cost\u2010effectiveness of CADe to support its use in clinical practice; Statement 2.1: Computer\u2010aided diagnosis (CADx) for diminutive polyps (\u22645\u2009mm), when it has sufficient accuracy, is expected to reduce health\u2010care costs by reducing polypectomies, pathological examinations, or both; Statement 2.2: Health\u2010care delivery systems and authorities should evaluate the cost\u2010effectiveness of CADx to support its use in clinical practice; Statement 3: We recommend that a broad range of high\u2010quality cost\u2010effectiveness research should be undertaken to understand whether AI\u00a0implementation benefits populations and societies in different health\u2010care systems.<\/jats:p>","DOI":"10.1111\/den.14531","type":"journal-article","created":{"date-parts":[[2023,2,7]],"date-time":"2023-02-07T13:50:56Z","timestamp":1675777856000},"page":"422-429","update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":62,"title":["Benefits and challenges in implementation of artificial intelligence in colonoscopy: World Endoscopy Organization position 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