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For: Ioannou GN, Tang W, Beste LA, Tincopa MA, Su GL, Van T, Tapper EB, Singal AG, Zhu J, Waljee AK. Assessment of a Deep Learning Model to Predict Hepatocellular Carcinoma in Patients With Hepatitis C Cirrhosis. JAMA Netw Open. 2020;3:e2015626. [PMID: 32870314 DOI: 10.1001/jamanetworkopen.2020.15626] [Cited by in Crossref: 7] [Cited by in F6Publishing: 9] [Article Influence: 3.5] [Reference Citation Analysis]
Number Citing Articles
1 Ahn JC, Qureshi TA, Singal AG, Li D, Yang JD. Deep learning in hepatocellular carcinoma: Current status and future perspectives. World J Hepatol 2021; 13(12): 2039-2051 [DOI: 10.4254/wjh.v13.i12.2039] [Reference Citation Analysis]
2 Kanda T, Sasaki R, Masuzaki R, Moriyama M. Artificial intelligence and machine learning could support drug development for hepatitis A virus internal ribosomal entry sites. Artif Intell Gastroenterol 2021; 2(1): 1-9 [DOI: 10.35712/aig.v2.i1.1] [Reference Citation Analysis]
3 Christou CD, Tsoulfas G. Challenges and opportunities in the application of artificial intelligence in gastroenterology and hepatology. World J Gastroenterol 2021; 27(37): 6191-6223 [PMID: 34712027 DOI: 10.3748/wjg.v27.i37.6191] [Reference Citation Analysis]
4 Nahon P, Vo Quang E, Ganne-Carrié N. Stratification of Hepatocellular Carcinoma Risk Following HCV Eradication or HBV Control. J Clin Med 2021;10:353. [PMID: 33477752 DOI: 10.3390/jcm10020353] [Reference Citation Analysis]
5 Mathews SC, Sakulsaengprapha V. Digital Health Landscape in Gastroenterology and Hepatology. Clin Gastroenterol Hepatol 2021;19:421-424.e2. [PMID: 33157314 DOI: 10.1016/j.cgh.2020.11.001] [Reference Citation Analysis]
6 Ioannou GN. HCC surveillance after SVR in patients with F3/F4 fibrosis. J Hepatol. 2021;74:458-465. [PMID: 33303216 DOI: 10.1016/j.jhep.2020.10.016] [Cited by in Crossref: 7] [Cited by in F6Publishing: 11] [Article Influence: 3.5] [Reference Citation Analysis]
7 Su TH, Wu CH, Kao JH. Artificial intelligence in precision medicine in hepatology. J Gastroenterol Hepatol 2021;36:569-80. [PMID: 33709606 DOI: 10.1111/jgh.15415] [Cited by in Crossref: 3] [Cited by in F6Publishing: 5] [Article Influence: 3.0] [Reference Citation Analysis]
8 Sanduzzi-Zamparelli M, Mariño Z, Lens S, Sapena V, Iserte G, Pla A, Granel N, Bartres C, Llarch N, Vilana R, Nuñez I, Darnell A, Belmonte E, García-Criado A, Díaz A, Muñoz-Martinez S, Ayuso C, Bianchi L, Fuster-Anglada C, Rimola J, Forner A, Torres F, Bruix J, Forns X, Reig M. Liver cancer risk after HCV cure in patients with advanced liver disease without non-characterized nodules. J Hepatol 2021:S0168-8278(21)02228-5. [PMID: 34856322 DOI: 10.1016/j.jhep.2021.11.023] [Reference Citation Analysis]
9 Kubota N, Fujiwara N, Hoshida Y. Clinical and Molecular Prediction of Hepatocellular Carcinoma Risk. J Clin Med 2020;9:E3843. [PMID: 33256232 DOI: 10.3390/jcm9123843] [Cited by in Crossref: 2] [Cited by in F6Publishing: 2] [Article Influence: 1.0] [Reference Citation Analysis]
10 Philips CA, Rajesh S, Nair DC, Ahamed R, Abduljaleel JK, Augustine P. Hepatocellular Carcinoma in 2021: An Exhaustive Update. Cureus 2021;13:e19274. [PMID: 34754704 DOI: 10.7759/cureus.19274] [Reference Citation Analysis]
11 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]
12 Luna-Cuadros MA, Chen HW, Hanif H, Ali MJ, Khan MM, Lau DTY. Risk of hepatocellular carcinoma after hepatitis C virus cure. World J Gastroenterol 2022; 28(1): 96-107 [DOI: 10.3748/wjg.v28.i1.96] [Reference Citation Analysis]
13 Ahumada A, Rayón L, Usón C, Bañares R, Alonso Lopez S. Hepatocellular carcinoma risk after viral response in hepatitis C virus-advanced fibrosis: Who to screen and for how long? World J Gastroenterol 2021; 27(40): 6737-6749 [PMID: 34790004 DOI: 10.3748/wjg.v27.i40.6737] [Reference Citation Analysis]