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In recent years, artificial intelligence (AI) has enhanced the diagnostic and treatment efficiency and quality of pancreaticobiliary endoscopy. Diagnosis and differential diagnosis based on endoscopic ultrasound (EUS) images, pathology of EUS\u2010guided fine\u2010needle aspiration or biopsy, need for endoscopic retrograde cholangiopancreatography (ERCP) and assessment of operational difficulty, postoperative complications and prediction of patient prognosis, and real\u2010time procedure guidance. This review provides an overview of AI applications in pancreaticobiliary endoscopy and proposes future development directions in aspects such as data quality and algorithmic interpretability, aiming to provide new insights for the integration of AI technology with pancreaticobiliary endoscopy.<\/jats:p>","DOI":"10.1111\/1751-2980.13324","type":"journal-article","created":{"date-parts":[[2024,12,30]],"date-time":"2024-12-30T15:18:41Z","timestamp":1735571921000},"page":"564-572","update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":4,"title":["Artificial intelligence in pancreaticobiliary endoscopy: Current applications and future directions"],"prefix":"10.1111","volume":"25","author":[{"given":"Huan","family":"Jiang","sequence":"first","affiliation":[{"name":"Department of Gastroenterology and Hepatology, West China Hospital Sichuan University  Chengdu Sichuan Province China"},{"name":"Digestive Endoscopy Medical Engineering 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