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For: Niu PH, Zhao LL, Wu HL, Zhao DB, Chen YT. Artificial intelligence in gastric cancer: Application and future perspectives. World J Gastroenterol 2020; 26(36): 5408-5419 [PMID: 33024393 DOI: 10.3748/wjg.v26.i36.5408]
URL: https://www.wjgnet.com/1007-9327/full/v26/i36/5408.htm
Number Citing Articles
1
Yitian Xu, Pengshan Zhang, Kundong Zhang, Chen Huang. The application of CA72-4 in the diagnosis, prognosis, and treatment of gastric cancerBiochimica et Biophysica Acta (BBA) - Reviews on Cancer 2021; 1876(2): 188634 doi: 10.1016/j.bbcan.2021.188634
2
Khalid Nawab, Ravi Athwani, Awais Naeem, Muhammad Hamayun, Momna Wazir. A Review of Applications of Artificial Intelligence in GastroenterologyCureus 2021;  doi: 10.7759/cureus.19235
3
Yong Liu. Artificial intelligence-assisted endoscopic detection of esophageal neoplasia in early stage: The next step?World Journal of Gastroenterology 2021; 27(14): 1392-1405 doi: 10.3748/wjg.v27.i14.1392
4
Xiulan Yang, Yudong Zheng, Lian Liu, Jiangrong Huang, Fei Wang, Jie Zhang. Progress on the study of the anticancer effects of artesunate (Review)Oncology Letters 2021; 22(5) doi: 10.3892/ol.2021.13011
5
Yu Yang, Yu-Xuan Li, Ren-Qi Yao, Xiao-Hui Du, Chao Ren. Artificial intelligence in small intestinal diseases: Application and prospectsWorld Journal of Gastroenterology 2021; 27(25): 3734-3747 doi: 10.3748/wjg.v27.i25.3734
6
Sarah El-Nakeep, Mohamed El-Nakeep. Artificial intelligence for cancer detection in upper gastrointestinal endoscopy, current status, and future aspirationsArtificial Intelligence in Gastroenterology 2021; 2(5): 124-132 doi: 10.35712/aig.v2.i5.124
7
Zhi-da Chen, Peng-fei Zhang, Hong-qing Xi, Bo Wei, Lin Chen, Yun Tang. Recent Advances in the Diagnosis, Staging, Treatment, and Prognosis of Advanced Gastric Cancer: A Literature ReviewFrontiers in Medicine 2021; 8 doi: 10.3389/fmed.2021.744839
8
Antonello FORGIONE, Salman Y. GURAYA, Michele DIANA, Jacques MARESCAUX. Intraoperative and postoperative complications in colorectal procedures: the role of continuous updating in medicineMinerva Surgery 2021; 76(4) doi: 10.23736/S2724-5691.21.08638-X
9
Jasminka Hasic Telalovic, Serena Pillozzi, Rachele Fabbri, Alice Laffi, Daniele Lavacchi, Virginia Rossi, Lorenzo Dreoni, Francesca Spada, Nicola Fazio, Amedeo Amedei, Ernesto Iadanza, Lorenzo Antonuzzo. A Machine Learning Decision Support System (DSS) for Neuroendocrine Tumor Patients Treated with Somatostatin Analog (SSA) TherapyDiagnostics 2021; 11(5): 804 doi: 10.3390/diagnostics11050804
10
Hyon Hee Kim, Young Seo Lim, Seung-In Seo, Kyung Joo Lee, Jae Young Kim, Woon Geon Shin. A Deep Recurrent Neural Network-Based Explainable Prediction Model for Progression from Atrophic Gastritis to Gastric CancerApplied Sciences 2021; 11(13): 6194 doi: 10.3390/app11136194
11
Jiahui Wei, Ruiqing Wang, Yiran Lu, Song He, Bao Yuan, Jiabao Zhang, Yu Ding. Flotillin-1 promotes progression and dampens chemosensitivity to cisplatin in gastric cancer via ERK and AKT signaling pathwaysEuropean Journal of Pharmacology 2021; : 174631 doi: 10.1016/j.ejphar.2021.174631
12
Tao Yan, Pak Kin Wong, Ye-Ying Qin. Deep learning for diagnosis of precancerous lesions in upper gastrointestinal endoscopy: A reviewWorld Journal of Gastroenterology 2021; 27(20): 2531-2544 doi: 10.3748/wjg.v27.i20.2531
13
Hiroshi Yoshida, Tomoharu Kiyuna. Requirements for implementation of artificial intelligence in the practice of gastrointestinal pathologyWorld Journal of Gastroenterology 2021; 27(21): 2818-2833 doi: 10.3748/wjg.v27.i21.2818
14
Swathikan Chidambaram, Viknesh Sounderajah, Nick Maynard, Sheraz R. Markar. Diagnostic Performance of Artificial Intelligence-Centred Systems in the Diagnosis and Postoperative Surveillance of Upper Gastrointestinal Malignancies Using Computed Tomography Imaging: A Systematic Review and Meta-Analysis of Diagnostic AccuracyAnnals of Surgical Oncology 2021;  doi: 10.1245/s10434-021-10882-6