| For: | Wang HN, An JH, Wang FQ, Hu WQ, Zong L. Predicting gastric cancer survival using machine learning: A systematic review. World J Gastrointest Oncol 2025; 17(5): 103804 [PMID: 40487963 DOI: 10.4251/wjgo.v17.i5.103804] |
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| URL: | https://www.wjgnet.com/1948-0210/full/v17/i5/103804.htm |
| Number | Citing Articles |
| 1 |
Jamal Alshorman, Mohammad Javad Mehran, Yadollah Bahrami, Sara Mohammadzadeh, Rambod Barzigar, Mahdi Morshedi, Khawaja Husnain Haider, Kingsley Miyanda Tembo, Shan-Jie Rong, Nasir Jadgal, Ruba Altahla, Mansoor Bolideei, Yongping Wang. Artificial intelligence in immunotherapy: revolutionizing diagnostic and therapeutic applications in cancer and autoimmune diseases. Clinical and Experimental Medicine 2026; 26(1) doi: 10.1007/s10238-026-02107-5
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| 2 |
S.M. Mubashir Hussain, A. Mohan. DGCNet: A deep knowledge distillation framework for accurate gastric cancer detection with attention based DeepLabv3+ segmentation. Neurocomputing 2026; 700 doi: 10.1016/j.neucom.2026.134384
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| 3 |
David Córdoba-Vargas, Fabian Cano, Javier Revelo-Fuelagán, Eduardo Romero. CAMIL-A Class Activation Mapping Integrated with MIL-Attention. 2025 21st International Symposium on Biomedical Image Processing and Analysis (SIPAIM) 2025; doi: 10.1109/SIPAIM67325.2025.11283315
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| 4 |
Maryana Mandrina, Tigran Gevorkyan, Sergey Zvezda, Valeria Pavlova, Rukiyat Abdulaeva, Mariam Manukyan, Yana Belenkaya, Sergey Gordeyev, Ivan Stilidi. Gastric cancer survival prediction using artificial intelligence models based on electronic health records: a systematic review and meta-analysis. Frontiers in Digital Health 2026; 8 doi: 10.3389/fdgth.2026.1845932
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| 5 |
Huohua Lv, Jun Liu, Lufei Jiang, ZhiWen Nie, Yaoxin Wang. KIRREL1 is a novel prognostic biomarker that promotes malignancy in gastric cancer via activation of the epithelial-mesenchymal transition pathway. Molecular Genetics and Genomics 2026; 301(1) doi: 10.1007/s00438-026-02438-8
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