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For: Mancini M, Summers P, Faita F, Brunetto MR, Callea F, De Nicola A, Di Lascio N, Farinati F, Gastaldelli A, Gridelli B, Mirabelli P, Neri E, Salvadori PA, Rebelos E, Tiribelli C, Valenti L, Salvatore M, Bonino F. Digital liver biopsy: Bio-imaging of fatty liver for translational and clinical research. World J Hepatol 2018; 10(2): 231-245 [PMID: 29527259 DOI: 10.4254/wjh.v10.i2.231] [Cited by in CrossRef: 12] [Cited by in F6Publishing: 12] [Article Influence: 3.0] [Reference Citation Analysis]
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2 Li Q, Li JF, Mao XR. Application of artificial intelligence in liver diseases: From diagnosis to treatment. Artif Intell Gastroenterol 2021; 2(5): 133-140 [DOI: 10.35712/aig.v2.i5.133] [Reference Citation Analysis]
3 Katsiki N, Gastaldelli A, Mikhailidis DP. Predictive models with the use of omics and supervised machine learning to diagnose non-alcoholic fatty liver disease: A “non-invasive alternative” to liver biopsy? Metabolism 2019;101:154010. [DOI: 10.1016/j.metabol.2019.154010] [Cited by in Crossref: 9] [Cited by in F6Publishing: 8] [Article Influence: 3.0] [Reference Citation Analysis]
4 Wood-Trageser MA, Lesniak AJ, Demetris AJ. Enhancing the Value of Histopathological Assessment of Allograft Biopsy Monitoring. Transplantation 2019;103:1306-22. [PMID: 30768568 DOI: 10.1097/TP.0000000000002656] [Cited by in Crossref: 9] [Cited by in F6Publishing: 5] [Article Influence: 4.5] [Reference Citation Analysis]
5 Rebelos E, Iozzo P, Guzzardi MA, Brunetto MR, Bonino F. Brain-gut-liver interactions across the spectrum of insulin resistance in metabolic fatty liver disease. World J Gastroenterol 2021; 27(30): 4999-5018 [PMID: 34497431 DOI: 10.3748/wjg.v27.i30.4999] [Reference Citation Analysis]
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7 Callea F, Desmet V. The Discovery of Endoplasmic Reticulum Storage Disease. The Connection between an H&E Slide and the Brain. Int J Mol Sci 2021;22:2899. [PMID: 33809321 DOI: 10.3390/ijms22062899] [Cited by in Crossref: 2] [Cited by in F6Publishing: 2] [Article Influence: 2.0] [Reference Citation Analysis]
8 Pelusi S, Valenti L. Hepatic fat as clinical outcome and therapeutic target for nonalcoholic fatty liver disease. Liver Int 2019;39:250-6. [DOI: 10.1111/liv.13972] [Cited by in Crossref: 21] [Cited by in F6Publishing: 21] [Article Influence: 5.3] [Reference Citation Analysis]
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10 Balsano C, Alisi A, Brunetto MR, Invernizzi P, Burra P, Piscaglia F; Special Interest Group (SIG) Artificial Intelligence and Liver Diseases; Italian Association for the Study of the Liver (AISF). The application of artificial intelligence in hepatology: A systematic review. Dig Liver Dis 2021:S1590-8658(21)00317-0. [PMID: 34266794 DOI: 10.1016/j.dld.2021.06.011] [Reference Citation Analysis]
11 Corrias G, Erta M, Sini M, Sardu C, Saba L, Mahmood U, Castellanos SH, Bates D, Mondanelli N, Thomsen B, Carollo G, Sawan P, Mannelli L. Comparison of Multimaterial Decomposition Fat Fraction with DECT and Proton Density Fat Fraction with IDEAL IQ MRI for Quantification of Liver Steatosis in a Population Exposed to Chemotherapy. Dose Response 2021;19:1559325820984938. [PMID: 33958978 DOI: 10.1177/1559325820984938] [Reference Citation Analysis]
12 Alfani R, Vassallo E, De Anseris AG, Nazzaro L, D'Acunzo I, Porfito C, Mandato C, Vajro P. Pediatric Fatty Liver and Obesity: Not Always Justa Matter of Non-Alcoholic Fatty Liver Disease. Children (Basel) 2018;5:E169. [PMID: 30551665 DOI: 10.3390/children5120169] [Cited by in Crossref: 5] [Cited by in F6Publishing: 4] [Article Influence: 1.3] [Reference Citation Analysis]