For: | Kudou M, Kosuga T, Otsuji E. Artificial intelligence in gastrointestinal cancer: Recent advances and future perspectives. Artif Intell Gastroenterol 2020; 1(4): 71-85 [DOI: 10.35712/aig.v1.i4.71] |
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URL: | https://www.wjgnet.com/2644-3236/full/v1/i4/71.htm |
Number | Citing Articles |
1 |
Ankit Shukla, Rajesh Chaudhary, Nishant Nayyar. Role of artificial intelligence in gastrointestinal surgery. Artificial Intelligence in Cancer 2024; 5(2): 97317 doi: 10.35713/aic.v5.i2.97317
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2 |
Sreetama Mukherjee, Sunita Vagha, Pravin Gadkari. Navigating the Future: A Comprehensive Review of Artificial Intelligence Applications in Gastrointestinal Cancer. Cureus 2024; doi: 10.7759/cureus.54467
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3 |
Jia-xin Tu, Xue-ting Lin, Hui-qing Ye, Shan-lan Yang, Li-fang Deng, Ruo-ling Zhu, Lei Wu, Xiao-qiang Zhang. Global research trends of artificial intelligence applied in esophageal carcinoma: A bibliometric analysis (2000-2022) via CiteSpace and VOSviewer. Frontiers in Oncology 2022; 12 doi: 10.3389/fonc.2022.972357
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4 |
Hemant Goyal, Syed A. A. Sherazi, Rupinder Mann, Zainab Gandhi, Abhilash Perisetti, Muhammad Aziz, Saurabh Chandan, Jonathan Kopel, Benjamin Tharian, Neil Sharma, Nirav Thosani. Scope of Artificial Intelligence in Gastrointestinal Oncology. Cancers 2021; 13(21): 5494 doi: 10.3390/cancers13215494
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5 |
Vinícius Remus Ballotin, Lucas Goldmann Bigarella, John Soldera, Jonathan Soldera. Deep learning applied to the imaging diagnosis of hepatocellular carcinoma. Artificial Intelligence in Gastrointestinal Endoscopy 2021; 2(4): 127-135 doi: 10.37126/aige.v2.i4.127
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