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Nucleotide analogs can achieve sustained HBV DNA suppression but rarely lead to a functional cure. Despite the high efficacy of DAAs, successful antiviral therapy does not eliminate the risk of hepatocellular carcinoma (HCC), highlighted the need for cost\u2010effective identification of high\u2010risk populations for HCC surveillance and tailored HCC treatment strategies for these populations. The accessibility of high\u2010throughput genomic data has accelerated the development of precision medicine, and the emergence of artificial intelligence (AI) has led to a new era of precision medicine. AI can learn from complex, non\u2010linear data and identify hidden patterns within real\u2010world datasets. The combination of AI and multi\u2010omics approaches can facilitate disease diagnosis, biomarker discovery, and the prediction of treatment efficacy and prognosis. AI algorithms have been implemented in various aspects, including non\u2010invasive tests, predictive models, image diagnosis, and the interpretation of histopathology findings. AI can support clinicians in decision\u2010making, alleviate clinical burdens, and curtail healthcare expenses. In this review, we introduce the fundamental concepts of machine learning and review the role of AI in the management of chronic liver diseases.<\/jats:p>","DOI":"10.1002\/kjm2.12901","type":"journal-article","created":{"date-parts":[[2024,10,23]],"date-time":"2024-10-23T10:35:12Z","timestamp":1729679712000},"page":"962-971","update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":17,"title":["The role of artificial intelligence in the management of liver diseases"],"prefix":"10.1002","volume":"40","author":[{"given":"Ming\u2010Ying","family":"Lu","sequence":"first","affiliation":[{"name":"Division of Hepatobiliary, Department of Internal Medicine, Kaohsiung Medical University Hospital Kaohsiung Medical University  Kaohsiung Taiwan"},{"name":"School of Medicine and Hepatitis Research Center, College of Medicine and Center for Liquid Biopsy and Cohort Research Kaohsiung Medical University  Kaohsiung Taiwan"},{"name":"School of Medicine 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