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For:	Zou LF, Wang XB, Li JW, Ouyang X, Luo YY, Luo Y, Wang CL. Predicting lymph node metastasis in colorectal cancer using case-level multiple instance learning. World J Gastroenterol 2026; 32(1): 112090 [PMID: 41551528 DOI: 10.3748/wjg.v32.i1.112090]
URL:	https://www.wjgnet.com/1007-9327/full/v32/i1/112090.htm

(46) (54) (0) (0) (0) (1) (795) (3)

Number	Citing Articles
1	Keira Noelle Zhong, Katelyn S. Ge, Henry Michael Lee, Shengwen Calvin Li. Beyond Morphology: Reframing Lymph-Node Metastasis Prediction Through Clonal Ecology—Decades-Long Genomic Instability and Polyclonal-to-Monoclonal Transitions as the Missing Dimension in Cancer. Stem Cells and Development 2026; doi: 10.1177/15473287261475554
2	Jing Zhao, Li-Juan Du, Ying Liu, Dan-Dan Zhu, Hui-Qing Wang, Ming-Kui Shen, Ling-Yue Wang, Hai-Yan Wang. Development and clinical application of an ultrasound-based deep learning model for preoperative staging of colorectal cancer. World Journal of Gastrointestinal Oncology 2026; 18(7): 120437 doi: 10.4251/wjgo.120437 Abstract(16) \| Core Tip(14) \| Full Article(HTML)(99) \| Full Article (PDF)-3710K(19) \| Full Article with Cover (PDF)-4062K(16) \| Full Article (XML)-134K(8) \| Audio-874K(0) \| Peer-Review Report-172K(12) \| Answering Reviewers-1042K(8) \| Times Cited (0) \| Total Visits (177) \| Open
3	Ding Ding, Ran Xuan, Rui Li. Deep learning and body composition model for predicting postoperative complications in colorectal cancer. Frontiers in Medical Technology 2026; 8 doi: 10.3389/fmedt.2026.1817439
4	Gang Wang, Sheng-Jie Pan. Artificial intelligence morphology and host complexity for precision prediction of nodal metastasis in colorectal cancer. World Journal of Gastroenterology 2026; 32(31): 117409 doi: 10.3748/wjg.117409 Abstract(5) \| Core Tip(5) \| Full Article(HTML)(3) \| Full Article (PDF)-3466K(0) \| Full Article with Cover (PDF)-3733K(0) \| Full Article (XML)-105K(1) \| Audio-1190K(0) \| Peer-Review Report-220K(2) \| Answering Reviewers-104K(1) \| Times Cited (0) \| Total Visits (6) \| Open

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