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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/2644-3236/full/v26/i36/5408.htm
Number Citing Articles
1
Maryam Koopaie, Marjan Ghafourian, Soheila Manifar, Shima Younespour, Mansour Davoudi, Sajad Kolahdooz, Mohammad Shirkhoda. Evaluation of CSTB and DMBT1 expression in saliva of gastric cancer patients and controlsBMC Cancer 2022; 22(1) doi: 10.1186/s12885-022-09570-9
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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
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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
4
Qing Li, Bing-Rong Liu. Application of artificial intelligence-assisted endoscopic detection of early esophageal cancerWorld Chinese Journal of Digestology 2021; 29(24): 1389 doi: 10.11569/wcjd.v29.i24.1389
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5
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
6
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
7
Anil Alpsoy, Aysen Yavuz, Gulsum Ozlem Elpek. Artificial intelligence in pathological evaluation of gastrointestinal cancersArtificial Intelligence in Gastroenterology 2021; 2(6): 141-156 doi: 10.35712/aig.v2.i6.141
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
E. Dilaghi, E. Lahner, B. Annibale, G. Esposito. Systematic review and meta-analysis: Artificial intelligence for the diagnosis of gastric precancerous lesions and Helicobacter pylori infectionDigestive and Liver Disease 2022;  doi: 10.1016/j.dld.2022.03.007
11
Jiahui Wei, Ruiqing Wang, Yiran Lu, Song He, Yu Ding. Flotillin-1 promotes progression and dampens chemosensitivity to cisplatin in gastric cancer via ERK and AKT signaling pathwaysEuropean Journal of Pharmacology 2022; 916: 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
Ryosuke Tonozuka, Ryota Niikura, Takao Itoi. Artificial intelligence for routine esophagogastroduodenoscopy quality monitoring: Is the future right before our eyes?Gastrointestinal Endoscopy 2022; 95(6): 1147 doi: 10.1016/j.gie.2022.02.030
14
Yousun Ko, Hooyoung Shin, Juneseuk Shin, Hoon Hur, Jimi Huh, Taeyong Park, Kyung Won Kim, In-Seob Lee. Artificial Intelligence Mortality Prediction Model for Gastric Cancer Surgery Based on Body Morphometry, Nutritional, and Surgical Information: Feasibility StudyApplied Sciences 2022; 12(8): 3873 doi: 10.3390/app12083873
15
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
16
Atefeh Talebi, Nasrin Borumandnia, Hassan Doosti, Somayeh Abbasi, Mohamad Amin Pourhoseingholi, Shahram Agah, Seidamir Pasha Tabaeian. Development of web-based dynamic nomogram to predict survival in patients with gastric cancer: a population-based studyScientific Reports 2022; 12(1) doi: 10.1038/s41598-022-08465-w
17
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 2022; 29(3): 1977 doi: 10.1245/s10434-021-10882-6
18
Mohd Faizan Siddiqui, Azaroual Mouna, Gregory Nicolas, Syed Ali Abbas Rahat, Ainura Mitalipova, Nancy Emmanuel, Nazgul Tashmatova. Computational Intelligence in OncologyStudies in Computational Intelligence 2022; 1016: 233 doi: 10.1007/978-981-16-9221-5_14
19
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
20
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
21
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
22
Shinichi Kinami, Hitoshi Saito, Hiroyuki Takamura. Significance of Lymph Node Metastasis in the Treatment of Gastric Cancer and Current Challenges in Determining the Extent of MetastasisFrontiers in Oncology 2022; 11 doi: 10.3389/fonc.2021.806162
23
Hyon Kim, Young Lim, Seung-In Seo, Kyung Lee, Jae Kim, Woon 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
24
Prabhakaran Mathialagan, Malathy Chidambaranathan. Morphological and Characteristic Analysis of Upper Aero-Digestive Tract Tumour: Revealing Uncovered Facts in Digital Pathology2021 International Conference on Computing, Communication, and Intelligent Systems (ICCCIS) 2021; : 550 doi: 10.1109/ICCCIS51004.2021.9397133
25
Lukas Buendgens, Didem Cifci, Narmin Ghaffari Laleh, Marko van Treeck, Maria T. Koenen, Henning W. Zimmermann, Till Herbold, Thomas Joachim Lux, Alexander Hann, Christian Trautwein, Jakob Nikolas Kather. Weakly supervised end-to-end artificial intelligence in gastrointestinal endoscopyScientific Reports 2022; 12(1) doi: 10.1038/s41598-022-08773-1
26
Scott B Minchenberg, Trent Walradt, Jeremy R Glissen Brown. Scoping out the future: The application of artificial intelligence to gastrointestinal endoscopyWorld Journal of Gastrointestinal Oncology 2022; 14(5): 989-1001 doi: 10.4251/wjgo.v14.i5.989