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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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Number Citing Articles
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Qing Li, Bing-Rong Liu. Application of artificial intelligence-assisted endoscopic detection of early esophageal cancer. World Chinese Journal of Digestology 2021; 29(24) doi: 10.11569/wcjd.v29.i24.1389
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Olfat M. Mirza, Aisha Alsobhi, Tawfiq Hasanin, Mohamad Khairi Ishak, Faten Khalid Karim, Samih M. Mostafa. Computer Aided Diagnosis for Gastrointestinal Cancer Classification Using Hybrid Rice Optimization With Deep Learning. IEEE Access 2023; 11 doi: 10.1109/ACCESS.2023.3297441
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Polaki Sujatha, Narasimham Primi, D. Menaga, D. J. Ashpin Pabi, S Veerakumar, Bharathi Ramesh Kumar. Molecular Biomarkers for Personalized Diagnosis and Treatment of Gastric Cancer Using Deep Learning Techniques. 2024 International Conference on Advances in Computing, Communication and Applied Informatics (ACCAI) 2024;  doi: 10.1109/ACCAI61061.2024.10601916
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Antonello FORGIONE, Salman Y. GURAYA, Michele DIANA, Jacques MARESCAUX. Intraoperative and postoperative complications in colorectal procedures: the role of continuous updating in medicine. Minerva Surgery 2021; 76(4) doi: 10.23736/S2724-5691.21.08638-X
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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 Study. International Journal of General Medicine 2024;  doi: 10.2147/IJGM.S485347
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Nfn Kiran, FNU Sapna, FNU Kiran, Deepak Kumar, FNU Raja, Sheena Shiwlani, Antonella Paladini, FNU Sonam, Ahmed Bendari, Raja Sandeep Perkash, FNU Anjali, Giustino Varrassi. Digital Pathology: Transforming Diagnosis in the Digital Age. Cureus 2023;  doi: 10.7759/cureus.44620
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Zaibo Li, Yueping Liu, William MacDonald, Shaoli Sun, Wei Chen, Ankush U. Patel, Anil V. Parwani, Swati Satturwar. Advances in Digital Pathology and Artificial Intelligence in Pathology. 2027;  doi: 10.1016/B978-0-443-40383-5.00008-X
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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 Review. Diagnostics 2023; 13(24) 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 Study. Applied Sciences 2022; 12(8) doi: 10.3390/app12083873
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Hiroshi Yoshida, Tomoharu Kiyuna. Requirements for implementation of artificial intelligence in the practice of gastrointestinal pathology. World Journal of Gastroenterology 2021; 27(21): 2818-2833 doi: 10.3748/wjg.v27.i21.2818
12
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 review. Biomedical Signal Processing and Control 2024; 87 doi: 10.1016/j.bspc.2023.105463
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Roberto Castro, Leo Ramos, Stadyn Román, Mike Bermeo, Anthony Crespo, Erick Cuenca. Applied Technologies. Communications in Computer and Information Science 2023; 1755 doi: 10.1007/978-3-031-24985-3_16
14
Kyoichi Adachi, Yuri Ebisutani, Yuko Matsubara, Eiko Okimoto, Norihisa Ishimura, Shunji Ishihara. Effectiveness of Artificial Intelligence in Screening Esophagogastroduodenoscopy. Cureus 2025;  doi: 10.7759/cureus.79935
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Junjie Ma, Fang Yang, Rong Yang, Yuan Li, Yongjing Chen. Interpretable deep learning for gastric cancer detection: a fusion of AI architectures and explainability analysis. Frontiers in Immunology 2025; 16 doi: 10.3389/fimmu.2025.1596085
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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 behaviors. Frontiers in Artificial Intelligence 2022; 5 doi: 10.3389/frai.2022.956385
17
Chengcong Liu, Yueping Li, Yongjing Xu, Hong Hou. The impact of preoperative skeletal muscle mass index-defined sarcopenia on postoperative complications and survival in gastric cancer: An updated meta-analysis. European Journal of Surgical Oncology 2025; 51(3) doi: 10.1016/j.ejso.2024.109569
18
Hanisha Kukunoor, Adithya Andanappa, Kaushalendra Tripathi, Iram Fatima, Ozoemena Akah, Ansari Faisal, Fawad Talat, Harsh Bhatia, Arlette Villalobos, Prachi Dawer, Yusra Qamar. Metastatic cancer detection and management with artificial intelligence and augmented reality (Review). Medicine International 2026; 6(1) doi: 10.3892/mi.2026.297
19
Sarah El-Nakeep, Mohamed El-Nakeep. Artificial intelligence for cancer detection in upper gastrointestinal endoscopy, current status, and future aspirations. Artificial Intelligence in Gastroenterology 2021; 2(5): 124-132 doi: 10.35712/aig.v2.i5.124
20
Kamalrulnizam Bin Abu Bakar, Fatima Tul Zuhra, Babangida Isyaku, Fuad A. Ghaleb. Optimized Identification with Severity Factors of Gastric Cancer for Internet of Medical Things. Computers, Materials & Continua 2023; 75(1) doi: 10.32604/cmc.2023.034540
21
Sourav Basak, Subhasis Chakrabarty, Joyeeta Bhattacharya, Kaustav Dutta, Arghya Kusum Dhar, Narahari N. Palei. Theranostics in Cancer Management. 2026;  doi: 10.1016/B978-0-443-34199-1.00009-0
22
Vangelis D. Karalis. From Current to Future Trends in Pharmaceutical Technology. 2024;  doi: 10.1016/B978-0-323-91111-5.00006-8
23
Miguel Angel Ruiz-Fresneda, Alfonso Gijón, Pablo Morales-Álvarez. Bibliometric analysis of the global scientific production on machine learning applied to different cancer types. Environmental Science and Pollution Research 2023; 30(42) doi: 10.1007/s11356-023-28576-9
24
Guanhua Duan, Yankun Cao, Xiaoxiao Cui, Zhen Li, Xiaoyun Yang, Zhi Liu. SwinDeepLab:Swin Transformer-based DeepLab v3+ for Gland Segmentation. 2023 16th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics (CISP-BMEI) 2023;  doi: 10.1109/CISP-BMEI60920.2023.10373361
25
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 Cancer. Applied Sciences 2021; 11(13) doi: 10.3390/app11136194
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Shuai Chen, Jingyao Cai, Zhixiang Wu, Xiangyu Liu, Qing Wang, Liming Zhou. Lightweight deep learning model for gastrointestinal precancerous lesion screening with attention enhancement. Frontiers in Medicine 2026; 13 doi: 10.3389/fmed.2026.1812093
27
Benjamin Franc. Cancer Metastasis Through the Lymphovascular System. 2022;  doi: 10.1007/978-3-030-93084-4_74
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洪铭 崔. Application of Artificial Intelligence in Gastrointestinal Cancer. Advances in Clinical Medicine 2023; 13(03) doi: 10.12677/ACM.2023.133566
29
Scott B Minchenberg, Trent Walradt, Jeremy R Glissen Brown. Scoping out the future: The application of artificial intelligence to gastrointestinal endoscopy. World Journal of Gastrointestinal Oncology 2022; 14(5): 989-1001 doi: 10.4251/wjgo.v14.i5.989
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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 controls. BMC Cancer 2022; 22(1) doi: 10.1186/s12885-022-09570-9
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Pratik Patel, Shaffer Mok. Cancer Research Guidance for Clinicians and Researchers. 2026;  doi: 10.1007/978-3-032-19175-5_18
32
Huang Junjun, Jiang Yujie. Image Recognition and Diagnosis System of Early Gastric Cancer Based on Artificial Intelligence Algorithm. 2023 3rd Asia-Pacific Conference on Communications Technology and Computer Science (ACCTCS) 2023;  doi: 10.1109/ACCTCS58815.2023.00068
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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 Tools. Cancers 2022; 14(20) doi: 10.3390/cancers14205023
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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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Anil Alpsoy, Aysen Yavuz, Gulsum Ozlem Elpek. Artificial intelligence in pathological evaluation of gastrointestinal cancers. Artificial Intelligence in Gastroenterology 2021; 2(6): 141-156 doi: 10.35712/aig.v2.i6.141
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Dusan Popovic, Tijana Glisic, Tomica Milosavljevic, Natasa Panic, Marija Marjanovic-Haljilji, Dragana Mijac, Milica Stojkovic Lalosevic, Jelena Nestorov, Sanja Dragasevic, Predrag Savic, Branka Filipovic. The Importance of Artificial Intelligence in Upper Gastrointestinal Endoscopy. Diagnostics 2023; 13(18) doi: 10.3390/diagnostics13182862
37
Harriet Evans, David Snead. Why do errors arise in artificial intelligence diagnostic tools in histopathology and how can we minimize them?. Histopathology 2024; 84(2) doi: 10.1111/his.15071
38
Lu Chen, Jinying Zhao, Zijian Liu, Lingzu Kong, Dan Zhou, Fuchun Wang. Global research hotspots and trends in the application of artificial intelligence in gastric cancer: a bibliometric analysis from 2005 to 2024. Frontiers in Oncology 2025; 15 doi: 10.3389/fonc.2025.1591655
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Ji-Han Qi, Shi-Ling Huang, Shi-Zhu Jin. Novel milestones for early esophageal carcinoma: From bench to bed. World Journal of Gastrointestinal Oncology 2024; 16(4): 1104-1118 doi: 10.4251/wjgo.v16.i4.1104
40
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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 infection. Digestive and Liver Disease 2022; 54(12) doi: 10.1016/j.dld.2022.03.007
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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 pathways. European Journal of Pharmacology 2022; 916 doi: 10.1016/j.ejphar.2021.174631
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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) doi: 10.1016/j.gie.2022.02.030
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Fahdah A Almarshad, Prasanalakshmi Balaji, Liyakathunisa Syed, Eman Aljohani, Santhi Muttipoll Dharmarajlu, Thavavel Vaiyapuri, Nourah Ali AlAseem. An Efficient Optimal CapsNet Model-Based Computer-Aided Diagnosis for Gastrointestinal Cancer Classification. IEEE Access 2024; 12 doi: 10.1109/ACCESS.2024.3442831
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Mohammad Reza Afrash, Mohsen Shafiee, Hadi Kazemi-Arpanahi. Establishing machine learning models to predict the early risk of gastric cancer based on lifestyle factors. BMC Gastroenterology 2023; 23(1) doi: 10.1186/s12876-022-02626-x
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Yuhao Zhai, Zhen Chen, Xingjian Luo, Zhi Zheng, Haiqiao Zhang, Xi Wang, Xiaosheng Yan, Xiaoye Liu, Jie Yin, Jinqiao Wang, Jun Zhang. Generation of surgical reports for lymph node dissection during laparoscopic gastric cancer surgery based on artificial intelligence. International Journal of Computer Assisted Radiology and Surgery 2025; 20(5) doi: 10.1007/s11548-025-03345-w
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Yu Xiao, Zhigang Song, Shuangmei Zou, Yan You, Jie Cui, Shuhao Wang, Calvin Ku, Xi Wu, Xiaowei Xue, Wenqi Han, Weixun Zhou. Artificial Intelligence Assisted Topographic Mapping System for Endoscopic Submucosal Dissection Specimens. Frontiers in Medicine 2022; 9 doi: 10.3389/fmed.2022.822731
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Pan Liang, Dongbo Lv, Xiu-Chun Ren, Ming Cheng, Zhi-Wei Hu, Liu-Liang Yong, Bing-Bing Zhu, Meng-Ru Liu, Jian-Bo Gao. The ‘double‑track sign’: A novel CT finding suggestive of the diagnosis of T1a gastric cancer. Oncology Letters 2023; 26(1) doi: 10.3892/ol.2023.13872
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Mohd Faizan Siddiqui, Azaroual Mouna, Gregory Nicolas, Syed Ali Abbas Rahat, Ainura Mitalipova, Nancy Emmanuel, Nazgul Tashmatova. Computational Intelligence in Oncology. Studies in Computational Intelligence 2022; 1016 doi: 10.1007/978-981-16-9221-5_14
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Inês Ferreira, Carlos Sachica Montenegro, Daniel Coelho, Maria Pereira, Sara da Mata, Sofia Carvalho, Ana Catarina Araújo, Carlos Abrantes, José Mário Ruivo, Helena Garcia, Rui Caetano Oliveira. Digital pathology implementation in a private laboratory: The CEDAP experience. Journal of Pathology Informatics 2023; 14 doi: 10.1016/j.jpi.2022.100180
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Gürkan Ünsal, Kaan Orhan. Artificial Intelligence in Dentistry. 2023;  doi: 10.1007/978-3-031-43827-1_19
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Negar Mottaghi-Dastjerdi, Mohammad Soltany-Rezaee-Rad. AI-Powered Insights into Drug Resistance in Gastric Cancer: A Path Toward Precision Therapy. Iranian Journal of Pharmaceutical Research 2025; 24(1) doi: 10.5812/ijpr-159954
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Yuan Liu, Lanyu Wang, Wenyi Du, Yukang Huang, Yi Guo, Chen Song, Zhiqiang Tian, Sen Niu, Jiaheng Xie, Jinhui Liu, Chao Cheng, Wei Shen. Identification of high-risk factors associated with mortality at 1-, 3-, and 5-year intervals in gastric cancer patients undergoing radical surgery and immunotherapy: an 8-year multicenter retrospective analysis. Frontiers in Cellular and Infection Microbiology 2023; 13 doi: 10.3389/fcimb.2023.1207235
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Man Wang, Fei Yu, Yuan Zhang. Current status and prospects of artificial intelligence in liver cancer management. Intelligent Oncology 2025; 1(3) doi: 10.1016/j.intonc.2025.06.003
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Keyu Chen, Zhiyou Yang, Ma Luo, Wei Liu, Yi Mou, Bing Hu, Xianglei Yuan, Wenyu Chen. ModFusion: Modality feature representation and hierarchical fusion for esophageal lesions segmentation. Knowledge-Based Systems 2025; 325 doi: 10.1016/j.knosys.2025.113932
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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 Review. Frontiers in Medicine 2021; 8 doi: 10.3389/fmed.2021.744839
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Mariano Vargas-Santiago, Diana Assaely León-Velasco, Christian Efraín Maldonado-Sifuentes, Liliana Chanona-Hernandez. A State-of-the-Art Review of Artificial Intelligence (AI) Applications in Healthcare: Advances in Diabetes, Cancer, Epidemiology, and Mortality Prediction. Computers 2025; 14(4) doi: 10.3390/computers14040143
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Oleg Martos, Md Ziaul Hoque, Anja Keskinarkaus, Niko Kemi, Juha Näpänkangas, Maarit Eskuri, Vesa-Matti Pohjanen, Joonas H. Kauppila, Tapio Seppänen. Optimized detection and segmentation of nuclei in gastric cancer images using stain normalization and blurred artifact removal. Pathology - Research and Practice 2023; 248 doi: 10.1016/j.prp.2023.154694
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Junjun Huang, Shier Nee Saw, Tianran He, Ruohan Yang, Yesheng Qin, Yanlin Chen, Loo Chu Kiong. DCNNLFS: A Dilated Convolutional Neural Network With Late Fusion Strategy for Intelligent Classification of Gastric Histopathology Images. IEEE Journal of Biomedical and Health Informatics 2024; 28(8) doi: 10.1109/JBHI.2023.3334709
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Xiaohua Zhou, Fuping Gao, Guangqi Xu, Yongqiang Puyang, Hongqing Rui, Junsheng Li. SIAH1 facilitates the migration and invasion of gastric cancer cells through promoting the ubiquitination and degradation of RECK. Heliyon 2024; 10(11) doi: 10.1016/j.heliyon.2024.e32676
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Yang Su, Yanqi Li, Wenshu Chen, Wangshuo Yang, Jichao Qin, Lu Liu. Automated machine learning-based model for predicting benign anastomotic strictures in patients with rectal cancer who have received anterior resection. European Journal of Surgical Oncology 2023; 49(12) doi: 10.1016/j.ejso.2023.107113
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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 endoscopy. Scientific Reports 2022; 12(1) doi: 10.1038/s41598-022-08773-1
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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 cancer. Biochimica et Biophysica Acta (BBA) - Reviews on Cancer 2021; 1876(2) doi: 10.1016/j.bbcan.2021.188634
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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 learning. Frontiers in Oncology 2024; 14 doi: 10.3389/fonc.2024.1431912
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Maria Antonietta Mazzei, Nunzia Di Meglio, Francesco Gentili, Giulio Bagnacci, Raffaele Macchiarelli, Luca Volterrani. Multimodality Imaging and Intervention in Oncology. 2023;  doi: 10.1007/978-3-031-28524-0_11
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Tatiana Khorobrykh, Vadim Agadzhanov, Anton Grachalov, Ivan Ivashov, Alexey Spartak, Artem Romanovskii, Yaroslav Drach, Daniil Kharkov. Topographic and Anatomical Landmarks of Key Points in Embryologically Guided Surgery for Locally Advanced Gastric Cancer Using Computer-Assisted 3D Navigation. Journal of Clinical Medicine 2025; 14(17) doi: 10.3390/jcm14176282
67
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 Pakistan. Artificial Intelligence in Gastroenterology 2023; 4(1): 10-27 doi: 10.35712/aig.v4.i1.10
68
Paula Jimenez-Fonseca, Marcos Bruna, Javier Gallego, Mónica Miró, Mireia Gil, Fernando Pereira, Gema Marín, Delia Cortés, Roberto Pazo, Mariagiulia Dal Cero, Elena Martín, Fernando Rivera. Surgical management of stage IV gastric adenocarcinoma: A systematic review and expert recommendations from the Spanish Cooperative Group for the Treatment of Digestive Tumours (TTD) and the Spanish Association of Surgeons (AEC). Cirugía Española (English Edition) 2026; 104(2) doi: 10.1016/j.cireng.2025.800254
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Aneesha Mallu Reddy, Gurleen Kaur, Vincent Sean D. Ribaya, Elizabeth Laurize A. Ribaya, Mallu Chenna Reddy, Tariq Shah, Dheeraj Shinde, Gurparsad Singh Suri. Artificial intelligence and transforming cancer care. Discover Oncology 2026; 17(1) doi: 10.1007/s12672-026-05242-3
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Yuzhang Xie, Guoshuai Niu, Qian Da, Wentao Dai, Yang Yang. Survival Prediction for Gastric Cancer via Multimodal Learning of Whole Slide Images and Gene Expression. 2022 IEEE International Conference on Bioinformatics and Biomedicine (BIBM) 2022;  doi: 10.1109/BIBM55620.2022.9995480
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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 cancer. Annals of Gastroenterological Surgery 2023; 7(6) doi: 10.1002/ags3.12714
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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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Yuqi Yang, Xiao Jia, Xi Wang, Pingdong Cao, Jian Zhu, Chuanxi Wang, Zhe Yang, Qiang Wen. AI in esophageal cancer: advances, barriers to clinical translation, and perspectives for digital health. Journal of Translational Medicine 2026; 24(1) doi: 10.1186/s12967-026-08270-3
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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 study. Scientific 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 images. Biomedical Signal Processing and Control 2025; 100 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 Learning. IEEE Access 2022; 10 doi: 10.1109/ACCESS.2022.3172477
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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 approaches. Scientific Reports 2023; 13(1) doi: 10.1038/s41598-023-31272-w
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Bowen Zhang, Lin Li, Long Cheng, Yujie Liu, Zhaoqing Liu, Jiangpeng Wu, Pengyi Zhang, Jiarui Wang, Dekui Zhang, Shuyan Li. Clinlabomics‐Enabled Blending Ensemble Learning for Low‐Cost Pan‐Cancer Detection and Classification Using Routine Clinical Laboratory Data. Advanced Intelligent Systems 2025; 7(12) doi: 10.1002/aisy.202500247
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Thifhelimbilu Luvhengo, Thulo Molefi, Demetra Demetriou, Rodney Hull, Zodwa Dlamini. Artificial Intelligence and Precision Oncology. 2023;  doi: 10.1007/978-3-031-21506-3_3
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Gopika SenthilKumar, Sharadhi Madhusudhana, Madelyn Flitcroft, Salma Sheriff, Samih Thalji, Jennifer Merrill, Callisia N. Clarke, Ugwuji N. Maduekwe, Susan Tsai, Kathleen K. Christians, T. Clark Gamblin, Anai N. Kothari. Automated machine learning (AutoML) can predict 90-day mortality after gastrectomy for cancer. Scientific Reports 2023; 13(1) doi: 10.1038/s41598-023-37396-3
81
Ahmed Ali, Arshad Iqbal, Sohail Khan, Naveed Ahmad, Sajid Shah. A two-phase transfer learning framework for gastrointestinal diseases classification. PeerJ Computer Science 2024; 10 doi: 10.7717/peerj-cs.2587
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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 Cancer. Biomedicines 2024; 12(9) doi: 10.3390/biomedicines12092162
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Nidhi Vadhavekar, Deepinder Kaur, Vanshika Pannu, Nabahat Shafi, Yuvraj Sawant, Aarya Latkar, Manu Pandya, Vahe Shahnazarian. Advancements in technology for the diagnosis and treatment of gastric cancer: A narrative review.. Student's Journal of Health Research Africa 2025; 6(9) doi: 10.51168/sjhrafrica.v6i9.2018
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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 prospects. World Journal of Gastroenterology 2021; 27(25): 3734-3747 doi: 10.3748/wjg.v27.i25.3734
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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 Metastasis. Frontiers in Oncology 2022; 11 doi: 10.3389/fonc.2021.806162
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Paula Jimenez-Fonseca, Marcos Bruna, Javier Gallego, Mónica Miró, Mireia Gil, Fernando Pereira, Gema Marín, Delia Cortés, Roberto Pazo, Mariagiulia Dal Cero, Elena Martín, Fernando Rivera. Manejo quirúrgico del adenocarcinoma gástrico estadio IV: revisión sistemática y recomendaciones del Grupo de Tratamiento de los Tumores Digestivos y la Asociación Española de Cirujanos. Cirugía Española 2026; 104(2) doi: 10.1016/j.ciresp.2025.800254
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