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Cited by in F6Publishing
For: Li JW, Ang TL. Colonoscopy and artificial intelligence: Bridging the gap or a gap needing to be bridged? Artif Intell Gastrointest Endosc 2021; 2(2): 36-49 [DOI: 10.37126/aige.v2.i2.36] [Cited by in CrossRef: 2] [Cited by in F6Publishing: 2] [Article Influence: 2.0] [Reference Citation Analysis]
Number Citing Articles
1 Ballotin VR, Bigarella LG, Soldera J, Soldera J. Deep learning applied to the imaging diagnosis of hepatocellular carcinoma. Artif Intell Gastrointest Endosc 2021; 2(4): 127-135 [DOI: 10.37126/aige.v2.i4.127] [Reference Citation Analysis]
2 Li JW, Chia T, Fock KM, Chong KW, Wong YJ, Ang TL. Artificial intelligence and polyp detection in colonoscopy: Use of a single neural network to achieve rapid polyp localization for clinical use. J Gastroenterol Hepatol 2021. [PMID: 34327729 DOI: 10.1111/jgh.15642] [Reference Citation Analysis]
3 Lin KW, Ang TL, Li JW. Role of artificial intelligence in early detection and screening for pancreatic adenocarcinoma. Artif Intell Med Imaging 2022; 3(2): 21-32 [DOI: 10.35711/aimi.v3.i2.21] [Reference Citation Analysis]
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