{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,9,16]],"date-time":"2026-09-16T18:33:24Z","timestamp":1789583604495,"version":"build-2803163510"},"reference-count":118,"publisher":"MDPI AG","issue":"24","license":[{"start":{"date-parts":[[2024,12,22]],"date-time":"2024-12-22T00:00:00Z","timestamp":1734825600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["JCM"],"abstract":"<jats:p>The integration of artificial intelligence (AI) into hepatology is revolutionizing the diagnosis and management of liver diseases amidst a rising global burden of conditions like metabolic-associated steatotic liver disease (MASLD). AI harnesses vast datasets and complex algorithms to enhance clinical decision making and patient outcomes. AI\u2019s applications in hepatology span a variety of conditions, including autoimmune hepatitis, primary biliary cholangitis, primary sclerosing cholangitis, MASLD, hepatitis B, and hepatocellular carcinoma. It enables early detection, predicts disease progression, and supports more precise treatment strategies. Despite its transformative potential, challenges remain, including data integration, algorithm transparency, and computational demands. This review examines the current state of AI in hepatology, exploring its applications, limitations, and the opportunities it presents to enhance liver health and care delivery.<\/jats:p>","DOI":"10.3390\/jcm13247833","type":"journal-article","created":{"date-parts":[[2024,12,23]],"date-time":"2024-12-23T10:58:55Z","timestamp":1734951535000},"page":"7833","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":30,"title":["AI in Hepatology: Revolutionizing the Diagnosis and Management of Liver Disease"],"prefix":"10.3390","volume":"13","author":[{"given":"Sheza","family":"Malik","sequence":"first","affiliation":[{"name":"Department of Internal Medicine, Rochester General Hospital, Rochester, NY 14621, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Rishi","family":"Das","sequence":"additional","affiliation":[{"name":"Division of Digestive Diseases, Emory University School of Medicine, Atlanta, GA 30322, USA"},{"name":"Department of Medicine, Emory University School of Medicine, Atlanta, GA 30322, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-0729-2451","authenticated-orcid":false,"given":"Thanita","family":"Thongtan","sequence":"additional","affiliation":[{"name":"Division of Digestive Diseases, Emory University School of Medicine, Atlanta, GA 30322, USA"},{"name":"Department of Medicine, Emory University School of Medicine, Atlanta, GA 30322, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-7728-5644","authenticated-orcid":false,"given":"Kathryn","family":"Thompson","sequence":"additional","affiliation":[{"name":"Department of Medicine, Emory University School of Medicine, Atlanta, GA 30322, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Nader","family":"Dbouk","sequence":"additional","affiliation":[{"name":"Division of Digestive Diseases, Emory University School of Medicine, Atlanta, GA 30322, USA"},{"name":"Department of Medicine, Emory University School of Medicine, Atlanta, GA 30322, USA"},{"name":"Emory Transplant Center, Emory University School of Medicine, Atlanta, GA 30322, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"1968","published-online":{"date-parts":[[2024,12,22]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"e25759","DOI":"10.2196\/25759","article-title":"Role of Artificial Intelligence Applications in Real-Life Clinical Practice: Systematic Review","volume":"23","author":"Yin","year":"2021","journal-title":"J. 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