| For: | Kim JH, Nam SJ, Park SC. Usefulness of artificial intelligence in gastric neoplasms. World J Gastroenterol 2021; 27(24): 3543-3555 [PMID: 34239268 DOI: 10.3748/wjg.v27.i24.3543] |
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| URL: | https://www.wjgnet.com/1007-9327/full/v27/i24/3543.htm |
| Number | Citing Articles |
| 1 |
Luyang Jie, Pengchen Liang, Ziyuan Zhao, Jianguo Chen, Qing Chang, Zeng Zeng. ADAN: An Adversarial Domain Adaptation Neural Network for Early Gastric Cancer Prediction. 2022 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC) 2022; doi: 10.1109/EMBC48229.2022.9871952
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| 2 |
Young Hoon Chang, Cheol Min Shin, Hae Dong Lee, Jinbae Park, Jiwoon Jeon, Soo-Jeong Cho, Seung Joo Kang, Jae-Yong Chung, Yu Kyung Jun, Yonghoon Choi, Hyuk Yoon, Young Soo Park, Nayoung Kim, Dong Ho Lee. Real-World Application of Artificial Intelligence for Detecting Pathologic Gastric Atypia and Neoplastic Lesions. Journal of Gastric Cancer 2024; 24(3) doi: 10.5230/jgc.2024.24.e28
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| 3 |
Athanasios G. Pantelis, Panagiota A. Panagopoulou, Dimitris P. Lapatsanis. Artificial Intelligence and Machine Learning in the Diagnosis and Management of Gastroenteropancreatic Neuroendocrine Neoplasms—A Scoping Review. Diagnostics 2022; 12(4) doi: 10.3390/diagnostics12040874
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| 4 |
真 徐. Advances in Endoscopic Diagnosis of Early Gastric Cancer. Advances in Clinical Medicine 2023; 13(04) doi: 10.12677/ACM.2023.134922
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| 5 |
Eyal Klang, Ali Soroush, Girish Nadkarni, Kassem Sharif, Adi Lahat. Deep Learning and Gastric Cancer: Systematic Review of AI-Assisted Endoscopy. Diagnostics 2023; 13(24) doi: 10.3390/diagnostics13243613
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| 6 |
晨阳 郭. Application and Prospect of Artificial Intelligence Technology in Gastrointestinal Tumors. Advances in Clinical Medicine 2022; 12(11) doi: 10.12677/ACM.2022.12111512
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| 7 |
Miguel Mascarenhas, Francisco Mendes, Miguel Martins, Tiago Ribeiro, João Afonso, Pedro Cardoso, João Ferreira, João Fonseca, Guilherme Macedo. Explainable AI in Digestive Healthcare and Gastrointestinal Endoscopy. Journal of Clinical Medicine 2025; 14(2) doi: 10.3390/jcm14020549
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| 8 |
Peng-fei Lyu, Yu Wang, Qing-Xiang Meng, Ping-ming Fan, Ke Ma, Sha Xiao, Xun-chen Cao, Guang-Xun Lin, Si-yuan Dong. Mapping intellectual structures and research hotspots in the application of artificial intelligence in cancer: A bibliometric analysis. Frontiers in Oncology 2022; 12 doi: 10.3389/fonc.2022.955668
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| 9 |
Mitsuhiro Fujishiro, Naomi Kakushima, Seiichiro Abe, Hon Chi Yip, Xuemei Liu, Gwan Ha Kim, Mathieu Pioche, George Adel Cortas, Kazuki Sumiyama, Vitor Nunes Arantes, Fabian Emura, Mário Dinis‐Ribeiro. World Endoscopy Organization Position Statements for Artificial Intelligence in Endoscopic Diagnosis of Gastric Epithelial Neoplasia. Digestive Endoscopy 2026; 38(4) doi: 10.1111/den.70144
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| 10 |
Lin Gao, Wenju Liu, Bingzi Kang, Han Wu, Jiajia He, Xiaolu Li, Gangqin Xi, Shuangmu Zhuo. AutoLNMNet: Automated Network for Estimating Lymph‐Node Metastasis in EGC Using a Pyramid Vision Transformer and Data Derived From Multiphoton Microscopy. Microscopy Research and Technique 2025; 88(1) doi: 10.1002/jemt.24705
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| 11 |
Abdallah Attia, Jihun Hamm, Mahmoud A. AbdAlnaeem, Zhengming Ding, Michael O’Rorke, Joseph Dillon, Mary Maluccio, Nicholas Skill, Kristen Limbach. A Novel Radiomics-Integrated Panel for Preoperative Stratification of Pancreatic Neuroendocrine Tumors (PNETs). Cancers 2026; 18(10) doi: 10.3390/cancers18101663
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