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Ultrasound (US), favoured by its flexibility, free of radiation, cost-effectiveness, and real-time capabilities, has been commonly employed as one of the first-line imaging tools for hepatic conditions. Artificial intelligence (AI) algorithms are increasingly applied to automatically identify intricate patterns and perform quantitative analyses in US imaging, potentially reducing radiologists\u2019 workload and improving diagnostic efficiency. AI-based US has been of substantial assistance in detecting, diagnosing, screening as well as monitoring of various liver diseases, and has attracted extensive attention among the medical community. In this review, we present a general introduction to AI in medical imaging; we next review its rapidly evolving applications in liver US, covering evaluation of hepatic steatosis severity, assessment of liver fibrosis, identification of focal hepatic lesions, preoperative prediction of high-risk pathological characteristics, assessment of postoperative prognosis, and the analysis of the model of integrated application of multi-omics data; finally, we present an outlook on the clinical applications of AI-based US in the liver diseases.<\/jats:p>","DOI":"10.1093\/bjrai\/ubaf019","type":"journal-article","created":{"date-parts":[[2025,12,18]],"date-time":"2025-12-18T04:20:00Z","timestamp":1766031600000},"source":"Crossref","is-referenced-by-count":2,"title":["Advancements in artificial intelligence applications for liver ultrasound imaging"],"prefix":"10.1093","volume":"3","author":[{"given":"Yu-Ting","family":"Shen","sequence":"first","affiliation":[{"name":"Department of Ultrasound, Zhongshan Hospital, Institute of Ultrasound in Medicine and Engineering, Fudan University , Shanghai 200032,","place":["China"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-8699-854X","authenticated-orcid":false,"given":"Hui-Xiong","family":"Xu","sequence":"additional","affiliation":[{"name":"Department of Ultrasound, Zhongshan Hospital, Institute of Ultrasound in Medicine and Engineering, Fudan University , Shanghai 200032,","place":["China"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Bo-Yang","family":"Zhou","sequence":"additional","affiliation":[{"name":"Department of Ultrasound, Zhongshan Hospital, Institute of Ultrasound in Medicine and Engineering, Fudan University , Shanghai 200032,","place":["China"]},{"name":"Department of Medical Ultrasound, Center of Minimally Invasive Treatment for Tumor, Shanghai Tenth People\u2019s Hospital, Ultrasound Education and Research Institute, School of Medicine, Tongji University, Shanghai Engineering Research Center of Ultrasound Diagnosis and Treatment , Shanghai 200072,","place":["China"]}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"286","published-online":{"date-parts":[[2025,12,17]]},"reference":[{"key":"2026053118014669300_ubaf019-B1","doi-asserted-by":"crossref","first-page":"151","DOI":"10.1016\/j.jhep.2018.09.014","article-title":"Burden of liver diseases in the world","volume":"70","author":"Asrani","year":"2019","journal-title":"J Hepatol"},{"key":"2026053118014669300_ubaf019-B2","doi-asserted-by":"crossref","first-page":"212","DOI":"10.1016\/j.jhep.2019.03.004","article-title":"Global liver disease burdens and research trends: analysis from a chinese perspective","volume":"71","author":"Xiao","year":"2019","journal-title":"J Hepatol"},{"key":"2026053118014669300_ubaf019-B3","doi-asserted-by":"crossref","first-page":"516","DOI":"10.1016\/j.jhep.2023.03.017","article-title":"Global burden of liver disease: 2023 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