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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
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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
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Priya Bhardwaj, SeongKi Kim, Apeksha Koul, Yogesh Kumar, Ankur Changela, Jana Shafi, Muhammad Fazal Ijaz. Advanced CNN models in gastric cancer diagnosis: enhancing endoscopic image analysis with deep transfer learningFrontiers in Oncology 2024; 14 doi: 10.3389/fonc.2024.1431912
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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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Maria Antonietta Mazzei, Nunzia Di Meglio, Francesco Gentili, Giulio Bagnacci, Raffaele Macchiarelli, Luca Volterrani. Multimodality Imaging and Intervention in Oncology2023; : 227 doi: 10.1007/978-3-031-28524-0_11
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Shahid Aziz, Simone König, Muhammad Umer, Tayyab Saeed Akhter, Shafqat Iqbal, Maryum Ibrar, Tofeeq Ur-Rehman, Tanvir Ahmad, Alfizah Hanafiah, Rabaab Zahra, Faisal Rasheed. Risk factor profiles for gastric cancer prediction with respect to <i>Helicobacter pylori</i>: A study of a tertiary care hospital in PakistanArtificial Intelligence in Gastroenterology 2023; 4(1): 10-27 doi: 10.35712/aig.v4.i1.10
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Yuan Liu, Xingchen Shang, Wenyi Du, Wei Shen, Yanfei Zhu. Helicobacter Pylori Infection as the Predominant High-Risk Factor for Gastric Cancer Recurrence Post-Gastrectomy: An 8-Year Multicenter Retrospective StudyInternational Journal of General Medicine 2024; : 4999 doi: 10.2147/IJGM.S485347
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Tsutomu Hayashi, Ken Takasawa, Takaki Yoshikawa, Taiki Hashimoto, Shigeki Sekine, Takeyuki Wada, Yukinori Yamagata, Haruhisa Suzuki, Seiichirou Abe, Shigetaka Yoshinaga, Yutaka Saito, Nobuji Kouno, Ryuji Hamamoto. A discrimination model by machine learning to avoid gastrectomy for early gastric cancerAnnals of Gastroenterological Surgery 2023; 7(6): 913 doi: 10.1002/ags3.12714
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Alexandra Orășeanu, Mihaela Cristina Brisc, Octavian Adrian Maghiar, Horia Popa, Ciprian Mihai Brisc, Sabina Florina Șolea, Teodor Andrei Maghiar, Ciprian Brisc. Landscape of Innovative Methods for Early Diagnosis of Gastric Cancer: A Systematic ReviewDiagnostics 2023; 13(24): 3608 doi: 10.3390/diagnostics13243608
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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
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Hao Zhang, Jiayi Qian, Ming Jin, Li Fan, SongJie Fan, Hong Pan, Yang Li, Ningning Wang, Baiyu Jian. Jolkinolide B induces cell cycle arrest and apoptosis in MKN45 gastric cancer cells and inhibits xenograft tumor growth in vivo Bioscience Reports 2022; 42(6) doi: 10.1042/BSR20220341
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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
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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
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Xinghang Wang, Haibo Tao, Bin Wang, Huaiping Jin, Zhenhui Li. CFI-ViT: A coarse-to-fine inference based vision transformer for gastric cancer subtype detection using pathological imagesBiomedical Signal Processing and Control 2025; 100: 107160 doi: 10.1016/j.bspc.2024.107160
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Bowen Zhang, Long Cheng, Yuzhen Niu, Aming Wang, Pengyi Zhang, Tiantian Shen, Lili Xi, Dekui Zhang, Shuyan Li. Identification Tool for Gastric Cancer Based on Integration of 33 Clinical Available Blood Indices Through Deep LearningIEEE Access 2022; 10: 106081 doi: 10.1109/ACCESS.2022.3172477
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Julian Andres Ramirez-Bautista, Silvia L. Chaparro-Cárdenas, Carmen Esmer, Jorge Adalberto Huerta-Ruelas. Artificial intelligence approaches to physiological parameter analysis in the monitoring and treatment of non-communicable diseases: A reviewBiomedical Signal Processing and Control 2024; 87: 105463 doi: 10.1016/j.bspc.2023.105463
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Roberto Castro, Leo Ramos, Stadyn Román, Mike Bermeo, Anthony Crespo, Erick Cuenca. Applied TechnologiesCommunications in Computer and Information Science 2023; 1755: 212 doi: 10.1007/978-3-031-24985-3_16
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Atefeh Talebi, Carlos A. Celis-Morales, Nasrin Borumandnia, Somayeh Abbasi, Mohamad Amin Pourhoseingholi, Abolfazl Akbari, Javad Yousefi. Predicting metastasis in gastric cancer patients: machine learning-based approachesScientific Reports 2023; 13(1) doi: 10.1038/s41598-023-31272-w
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Rocío Aznar-Gimeno, María Asunción García-González, Rubén Muñoz-Sierra, Patricia Carrera-Lasfuentes, María de la Vega Rodrigálvarez-Chamarro, Carlos González-Muñoz, Enrique Meléndez-Estrada, Ángel Lanas, Rafael del Hoyo-Alonso. GastricAITool: A Clinical Decision Support Tool for the Diagnosis and Prognosis of Gastric CancerBiomedicines 2024; 12(9): 2162 doi: 10.3390/biomedicines12092162
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Siqing Jiang, Haojun Gao, Jiajin He, Jiaqi Shi, Yuling Tong, Jian Wu. Machine learning: A non-invasive prediction method for gastric cancer based on a survey of lifestyle behaviorsFrontiers in Artificial Intelligence 2022; 5 doi: 10.3389/frai.2022.956385
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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
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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
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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
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Guanhua Duan, Yankun Cao, Xiaoxiao Cui, Zhen Li, Xiaoyun Yang, Zhi Liu. SwinDeepLab:Swin Transformer-based DeepLab v3+ for Gland Segmentation2023 16th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics (CISP-BMEI) 2023; : 1 doi: 10.1109/CISP-BMEI60920.2023.10373361
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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
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Hira Imad Cheema, Benjamin Tharian, Sumant Inamdar, Mauricio Garcia-Saenz-de-Sicilia, Cem Cengiz. Recent advances in endoscopic management of gastric neoplasmsWorld Journal of Gastrointestinal Endoscopy 2023; 15(5): 319-337 doi: 10.4253/wjge.v15.i5.319
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Benjamin Franc. Cancer Metastasis Through the Lymphovascular System2022; : 775 doi: 10.1007/978-3-030-93084-4_74
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Yizhi Liang, Zilan Rao, Dongwei Du, Yiwen Wang, Taiyong Fang. Butyrate prevents the migration and invasion, and aerobic glycolysis in gastric cancer via inhibiting Wnt/β‐catenin/c‐Myc signalingDrug Development Research 2023; 84(3): 527 doi: 10.1002/ddr.22043
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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
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Mobina Khosravi, Seyedeh Kimia Jasemi, Parsa Hayati, Hamid Akbari Javar, Saadat Izadi, Zhila Izadi. Transformative artificial intelligence in gastric cancer: Advancements in diagnostic techniquesComputers in Biology and Medicine 2024; 183: 109261 doi: 10.1016/j.compbiomed.2024.109261
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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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Angati Kalyan Kumar, Gangadhara Rao Kancharla. Machine Learning Driven Feature Extraction and Dimensionality Reduction for Image ClassificationJournal of Machine and Computing 2024; : 541 doi: 10.53759/7669/jmc202404052
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Huang Junjun, Jiang Yujie. Image Recognition and Diagnosis System of Early Gastric Cancer Based on Artificial Intelligence Algorithm2023 3rd Asia-Pacific Conference on Communications Technology and Computer Science (ACCTCS) 2023; : 77 doi: 10.1109/ACCTCS58815.2023.00068
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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
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Emma Briggs, Marc de Kamps, Willie Hamilton, Owen Johnson, Ciarán D. McInerney, Richard D. Neal. Machine Learning for Risk Prediction of Oesophago-Gastric Cancer in Primary Care: Comparison with Existing Risk-Assessment ToolsCancers 2022; 14(20): 5023 doi: 10.3390/cancers14205023
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Huina Ma, Hehua Huang, Chenyu Li, Shasha Li, Juefang Gan, Chunrong Lian, Yanwu Ling. The antidepressive mechanism of Longya Lilium combined with Fluoxetine in mice with depression-like behaviorsnpj Systems Biology and Applications 2024; 10(1) doi: 10.1038/s41540-024-00329-5
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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
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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