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Despite advances in research, current clinical practice still faces considerable challenges in early screening, risk stratification, prognostic prediction, and long-term therapeutic monitoring. Recent advances in artificial intelligence (AI) have provided transformative opportunities to address these challenges. AI has demonstrated unique advantages in imaging interpretation, multiomics integration, electronic health record analysis, and remote health management, significantly improving the accuracy and efficiency of the noninvasive diagnosis, individualized risk stratification, precision therapy, and dynamic disease monitoring of MASLD. In this mini-review, the latest advances in AI applications for MASLD diagnosis and management are systematically summarized, and a forward-looking perspective on the role of AI in enabling the next generation of smart health care systems for MASLD is offered, with the aim of providing theoretical and practical guidance for the clinical management of this disease.<\/jats:p>","DOI":"10.3748\/wjg.v31.i47.111900","type":"journal-article","created":{"date-parts":[[2025,12,19]],"date-time":"2025-12-19T01:48:29Z","timestamp":1766108909000},"source":"Crossref","is-referenced-by-count":6,"title":["Artificial intelligence applications for managing metabolic dysfunction-associated steatotic liver disease: Current status and future prospects"],"prefix":"10.3748","volume":"31","author":[{"given":"Jian-Jun","family":"Lou","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jing","family":"Zeng","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"2060","published-online":{"date-parts":[[2025,12,21]]},"reference":[{"key":"B1","doi-asserted-by":"publisher","DOI":"10.1016\/j.jhep.2023.06.003"},{"key":"B2","doi-asserted-by":"publisher","DOI":"10.1053\/j.gastro.2017.01.003"},{"key":"B3","doi-asserted-by":"publisher","DOI":"10.1016\/j.jhep.2024.04.031"},{"key":"B4","doi-asserted-by":"publisher","DOI":"10.14218\/JCTH.2024.00311"},{"key":"B5","doi-asserted-by":"publisher","DOI":"10.1097\/HEP.0000000000000004"},{"key":"B6","doi-asserted-by":"publisher","DOI":"10.3350\/cmh.2024.0431"},{"key":"B7","doi-asserted-by":"publisher","DOI":"10.1053\/j.gastro.2023.06.008"},{"key":"B8","doi-asserted-by":"publisher","DOI":"10.1016\/j.tem.2024.02.007"},{"key":"B9","doi-asserted-by":"publisher","DOI":"10.1002\/ueg2.12525"},{"key":"B10","doi-asserted-by":"publisher","DOI":"10.1136\/gutjnl-2023-331003"},{"key":"B11","doi-asserted-by":"publisher","DOI":"10.1136\/gutjnl-2023-330595"},{"key":"B12","doi-asserted-by":"publisher","DOI":"10.3748\/wjg.v30.i22.2839"},{"key":"B13","doi-asserted-by":"publisher","DOI":"10.1097\/HEP.0000000000000323"},{"key":"B14","doi-asserted-by":"publisher","DOI":"10.1007\/s11547-023-01693-8"},{"key":"B15","doi-asserted-by":"publisher","DOI":"10.1148\/radiol.2021204288"},{"key":"B16","doi-asserted-by":"publisher","DOI":"10.1053\/j.gastro.2019.01.042"},{"key":"B17","doi-asserted-by":"publisher","DOI":"10.1016\/s0168-8278(86)80075-7"},{"key":"B18","doi-asserted-by":"publisher","DOI":"10.1056\/NEJMe2206291"},{"key":"B19","doi-asserted-by":"publisher","DOI":"10.1016\/j.jceh.2022.06.009"},{"key":"B20","doi-asserted-by":"publisher","DOI":"10.14309\/ajg.0000000000003179"},{"key":"B21","doi-asserted-by":"publisher","DOI":"10.1016\/j.cgh.2023.04.007"},{"key":"B22","doi-asserted-by":"publisher","DOI":"10.1053\/j.gastro.2025.05.012"},{"key":"B23","doi-asserted-by":"publisher","DOI":"10.1002\/hep.31869"},{"key":"B24","doi-asserted-by":"publisher","DOI":"10.1016\/j.cmpb.2023.107932"},{"key":"B25","doi-asserted-by":"publisher","DOI":"10.1002\/hep.32779"},{"key":"B26","doi-asserted-by":"crossref","unstructured":"Theodossi A, Skene AM, Portmann B, Knill-Jones RP, Patrick RS, Tate RA, Kealey W, Jarvis KJ, O'Brian DJ, Williams R. 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