{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,17]],"date-time":"2026-02-17T10:51:00Z","timestamp":1771325460646,"version":"3.50.1"},"reference-count":95,"publisher":"MDPI AG","issue":"2","license":[{"start":{"date-parts":[[2026,2,15]],"date-time":"2026-02-15T00:00:00Z","timestamp":1771113600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"name":"National Foreign Expert Program","award":["G2022175011L"],"award-info":[{"award-number":["G2022175011L"]}]},{"name":"Gansu Provincial Key Talent Project","award":["2023RCXM06"],"award-info":[{"award-number":["2023RCXM06"]}]},{"name":"Key Research and Development Plan Project of Gansu Provincial Science and Technology Planning","award":["23YFFA0036"],"award-info":[{"award-number":["23YFFA0036"]}]},{"name":"Lanzhou Chengguan District Science and Technology Bureau Project","award":["2020-2-11-9"],"award-info":[{"award-number":["2020-2-11-9"]}]},{"name":"Lanzhou Science and Technology Bureau Project","award":["2020-XG-40"],"award-info":[{"award-number":["2020-XG-40"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["J. Imaging"],"abstract":"<jats:p>Liver fibrosis (LF) represents a crucial intermediate stage in the pathological progression from chronic liver disease to cirrhosis and hepatocellular carcinoma. Early and accurate diagnosis is of vital importance for the intervention treatment of diseases and the improvement of prognosis. Traditional liver biopsy, long regarded as the diagnostic gold standard, remains associated with several notable limitations such as invasiveness, sampling errors and inter-observer variability. Lately, as artificial intelligence (AI) technology progresses swiftly, radiomics and deep learning (DL) have risen to prominence as non-invasive diagnostic instruments, showing significant potential in the LF diagnostic evaluation. This review summarizes the latest advancements in radiomics and DL for LF diagnosis, staging, prognosis prediction and etiological differentiation. It also analyzes the application value of multimodal imaging modalities, including magnetic resonance imaging (MRI), computed tomography (CT) and ultrasound in this field. Despite ongoing challenges in model generalization and standardization, improved model interpretability, technological integration and multimodal fusion, the continuous advancement of radiomics and DL technologies holds promise for AI-driven imaging analysis strategies. These approaches aim to integrate multiple clinical monitoring methods, overcome obstacles in the early LF diagnosis and treatment and provide new perspectives for precision medicine of this disease.<\/jats:p>","DOI":"10.3390\/jimaging12020082","type":"journal-article","created":{"date-parts":[[2026,2,17]],"date-time":"2026-02-17T09:22:46Z","timestamp":1771320166000},"page":"82","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Research Progress on the Application of Radiomics and Deep Learning in Liver Fibrosis"],"prefix":"10.3390","volume":"12","author":[{"given":"Yi","family":"Dang","sequence":"first","affiliation":[{"name":"Department of Radiology, The First Hospital of Lanzhou University, Lanzhou 730000, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Wenjing","family":"Li","sequence":"additional","affiliation":[{"name":"Department of Radiology, The First Hospital of Lanzhou University, Lanzhou 730000, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Zhao","family":"Liu","sequence":"additional","affiliation":[{"name":"Department of Radiology, The First Hospital of Lanzhou University, Lanzhou 730000, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-7632-1922","authenticated-orcid":false,"given":"Junqiang","family":"Lei","sequence":"additional","affiliation":[{"name":"Department of Radiology, The First Hospital of Lanzhou University, Lanzhou 730000, China"},{"name":"Intelligent Imaging Medical Engineering Research Center of Gansu Province, Lanzhou 730000, China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"1968","published-online":{"date-parts":[[2026,2,15]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"633","DOI":"10.1038\/s41575-023-00807-x","article-title":"Hepatic inflammatory responses in liver fibrosis","volume":"20","author":"Hammerich","year":"2023","journal-title":"Nat. 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