| For: | Wang SY, Gao JC, Wu SD. Artificial intelligence for reducing missed detection of adenomas and polyps in colonoscopy: A systematic review and meta-analysis. World J Gastroenterol 2025; 31(21): 105753 [PMID: 40538513 DOI: 10.3748/wjg.v31.i21.105753] |
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| URL: | https://www.wjgnet.com/1007-9327/full/v31/i21/105753.htm |
| Number | Citing Articles |
| 1 |
Dandan Zhao. Combination of colonoscopy quality control indicators and CT imaging features for evaluation of diagnostic performance for colorectal lesions. Journal of Radiation Research and Applied Sciences 2026; 19(2) doi: 10.1016/j.jrras.2026.102394
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| 2 |
Haijiao Yun, Chao Wang, Jinyang Luan, Ziqing Han, Qingyu Du, Mingjing Li. DVFIP-Net: Dual View Feature Interaction Propagation Network for Polyp Segmentation. IEEE Access 2026; 14 doi: 10.1109/ACCESS.2026.3667956
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| 3 |
Devi P Dash, Girish K Pati, Kalpana Panda. Colonoscopy in the artificial intelligence era: Spotlight on adenoma miss rate. World Journal of Gastroenterology 2025; 31(39): 110886 doi: 10.3748/wjg.v31.i39.110886
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