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Cited by in CrossRef
For: Masuzaki R, Kanda T, Sasaki R, Matsumoto N, Nirei K, Ogawa M, Moriyama M. Application of artificial intelligence in hepatology: Minireview. Artif Intell Gastroenterol 2020; 1(1): 5-11 [DOI: 10.35712/aig.v1.i1.5]
URL: https://www.wjgnet.com/2644-3236/full/v1/i1/5.htm
Number Citing Articles
1
Anna Castaldo, Davide Raffaele De Lucia, Giuseppe Pontillo, Marco Gatti, Sirio Cocozza, Lorenzo Ugga, Renato Cuocolo. State of the Art in Artificial Intelligence and Radiomics in Hepatocellular CarcinomaDiagnostics 2021; 11(7): 1194 doi: 10.3390/diagnostics11071194
2
Tatsuo Kanda, Reina Sasaki, Ryota Masuzaki, Mitsuhiko Moriyama. Artificial intelligence and machine learning could support drug development for hepatitis A virus internal ribosomal entry sitesArtificial Intelligence in Gastroenterology 2021; 2(1): 1-9 doi: 10.35712/aig.v2.i1.1
3
Hye Won Lee, Joseph J Y Sung, Sang Hoon Ahn. Artificial intelligence in liver diseaseJournal of Gastroenterology and Hepatology 2021; 36(3): 539 doi: 10.1111/jgh.15409
4
Vinícius Remus Ballotin, Lucas Goldmann Bigarella, John Soldera, Jonathan Soldera. Deep learning applied to the imaging diagnosis of hepatocellular carcinomaArtificial Intelligence in Gastrointestinal Endoscopy 2021; 2(4): 127-135 doi: 10.37126/aige.v2.i4.127