{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,10,12]],"date-time":"2026-10-12T19:55:27Z","timestamp":1791834927211,"version":"4.3.4"},"reference-count":49,"publisher":"MDPI AG","issue":"5","license":[{"start":{"date-parts":[[2023,5,21]],"date-time":"2023-05-21T00:00:00Z","timestamp":1684627200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Medicina"],"abstract":"<jats:p>Background and Objectives: The development of liver fibrosis as a consequence of continuous inflammation represents a turning point in the evolution of chronic liver diseases. The recent developments of artificial intelligence (AI) applications show a high potential for improving the accuracy of diagnosis, involving large sets of clinical data. For this reason, the aim of this systematic review is to provide a comprehensive overview of current AI applications and analyze the accuracy of these systems to perform an automated diagnosis of liver fibrosis. Materials and Methods: We searched PubMed, Cochrane Library, EMBASE, and WILEY databases using predefined keywords. Articles were screened for relevant publications about AI applications capable of diagnosing liver fibrosis. Exclusion criteria were animal studies, case reports, abstracts, letters to the editor, conference presentations, pediatric studies, studies written in languages other than English, and editorials. Results: Our search identified a total of 24 articles analyzing the automated imagistic diagnosis of liver fibrosis, out of which six studies analyze liver ultrasound images, seven studies analyze computer tomography images, five studies analyze magnetic resonance images, and six studies analyze liver biopsies. The studies included in our systematic review showed that AI-assisted non-invasive techniques performed as accurately as human experts in detecting and staging liver fibrosis. Nevertheless, the findings of these studies need to be confirmed through clinical trials to be implemented into clinical practice. Conclusions: The current systematic review provides a comprehensive analysis of the performance of AI systems in diagnosing liver fibrosis. Automatic diagnosis, staging, and risk stratification for liver fibrosis is currently possible considering the accuracy of the AI systems, which can overcome the limitations of non-invasive diagnosis methods.<\/jats:p>","DOI":"10.3390\/medicina59050992","type":"journal-article","created":{"date-parts":[[2023,5,22]],"date-time":"2023-05-22T03:57:32Z","timestamp":1684727852000},"page":"992","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":33,"title":["Diagnosis of Liver Fibrosis Using Artificial Intelligence: A Systematic Review"],"prefix":"10.3390","volume":"59","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-5508-2598","authenticated-orcid":false,"given":"Stefan Lucian","family":"Popa","sequence":"first","affiliation":[{"name":"2nd Medical Department, \u201cIuliu Hatieganu\u201d University of Medicine and Pharmacy, 400000 Cluj-Napoca, Romania"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-7435-271X","authenticated-orcid":false,"given":"Abdulrahman","family":"Ismaiel","sequence":"additional","affiliation":[{"name":"2nd Medical Department, \u201cIuliu Hatieganu\u201d University of Medicine and Pharmacy, 400000 Cluj-Napoca, Romania"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-5922-1524","authenticated-orcid":false,"given":"Ludovico","family":"Abenavoli","sequence":"additional","affiliation":[{"name":"Department of Health Sciences, University \u201cMagna Graecia\u201d, 88100 Catanzaro, Italy"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Alexandru Marius","family":"Padureanu","sequence":"additional","affiliation":[{"name":"Faculty of Medicine, \u201cIuliu Hatieganu\u201d University of Medicine and Pharmacy, 400000 Cluj-Napoca, Romania"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Miruna Oana","family":"Dita","sequence":"additional","affiliation":[{"name":"Faculty of Medicine, \u201cIuliu Hatieganu\u201d University of Medicine and Pharmacy, 400000 Cluj-Napoca, Romania"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-2612-1161","authenticated-orcid":false,"given":"Roxana","family":"Bolchis","sequence":"additional","affiliation":[{"name":"Faculty of Medicine, \u201cIuliu Hatieganu\u201d University of Medicine and Pharmacy, 400000 Cluj-Napoca, Romania"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-4538-7574","authenticated-orcid":false,"given":"Mihai Alexandru","family":"Munteanu","sequence":"additional","affiliation":[{"name":"Department of Medical Disciplines, Faculty of Medicine and Pharmacy, University of Oradea, 410087 Oradea, Romania"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-0007-8962","authenticated-orcid":false,"given":"Vlad Dumitru","family":"Brata","sequence":"additional","affiliation":[{"name":"Faculty of Medicine, \u201cIuliu Hatieganu\u201d University of Medicine and Pharmacy, 400000 Cluj-Napoca, Romania"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-9088-8589","authenticated-orcid":false,"given":"Cristina","family":"Pop","sequence":"additional","affiliation":[{"name":"Department of Pharmacology, Physiology, and Pathophysiology, Faculty of Pharmacy, Iuliu Hatieganu University of Medicine and Pharmacy, 400347 Cluj-Napoca, Romania"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Andrei","family":"Bosneag","sequence":"additional","affiliation":[{"name":"Faculty of Medicine, \u201cIuliu Hatieganu\u201d University of Medicine and Pharmacy, 400000 Cluj-Napoca, Romania"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Dinu Iuliu","family":"Dumitrascu","sequence":"additional","affiliation":[{"name":"Department of Anatomy, UMF \u201cIuliu Hatieganu\u201d Cluj-Napoca, 400000 Cluj-Napoca, Romania"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-4550-2939","authenticated-orcid":false,"given":"Maria","family":"Barsan","sequence":"additional","affiliation":[{"name":"Department of Occupational Health, \u201cIuliu Hatieganu\u201d University of Medicine and Pharmacy, 400000 Cluj-Napoca, Romania"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Liliana","family":"David","sequence":"additional","affiliation":[{"name":"2nd Medical Department, \u201cIuliu Hatieganu\u201d University of Medicine and Pharmacy, 400000 Cluj-Napoca, Romania"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"1968","published-online":{"date-parts":[[2023,5,21]]},"reference":[{"key":"ref_1","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. 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