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The emergence of artificial intelligence (AI) has further enhanced the efficient utilization and interpretation of datasets, enabling the discovery of clinically actionable insights. AI is now extensively applied in gastroenterology, where it aids in endoscopic analyses, including the diagnosis of colorectal cancer, precancerous polyps, gastrointestinal inflammatory lesions, and bleeding. Additionally, AI supports clinicians in patient stratification, predicting disease progression and treatment responses, and adjusting treatment plans in a timely manner. This approach not only reduces healthcare costs but also improves patient health and safety. This review outlines the principles of AI, the current research landscape, and future directions for its applications in IBD, with the goal of advancing targeted treatment strategies.<\/jats:p>","DOI":"10.4103\/sjg.sjg_46_25","type":"journal-article","created":{"date-parts":[[2025,4,25]],"date-time":"2025-04-25T04:00:10Z","timestamp":1745553610000},"page":"197-205","update-policy":"https:\/\/doi.org\/10.1097\/lww.0000000000001000","source":"Crossref","is-referenced-by-count":7,"title":["Artificial intelligence in inflammatory bowel disease"],"prefix":"10.4103","volume":"31","author":[{"given":"Jiaxuan","family":"Ran","sequence":"first","affiliation":[{"name":"Department of Gastroenterology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan Province, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Mingxia","family":"Zhou","sequence":"additional","affiliation":[{"name":"Department of Gastroenterology, The First Affiliated Hospital of Zhengzhou 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