| For: | Li XR, Kong MW, Guan XF, Gao Y. Revolutionizing upper gastrointestinal disease diagnosis: The transformative role of artificial intelligence in endoscopy. World J Gastrointest Endosc 2025; 17(7): 108293 [PMID: 40677567 DOI: 10.4253/wjge.v17.i7.108293] |
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| URL: | https://www.wjgnet.com/1948-5190/full/v17/i7/108293.htm |
| Number | Citing Articles |
| 1 |
Fangyuan Long, Hongru Zhang, Shungeng Zhang, Zongfu Dong, Xupeng Huang, Ronghang Hu. Machine learning applications in the detection and treatment of esophageal cancer. Discover Oncology 2026; 17(1) doi: 10.1007/s12672-026-05477-0
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| 2 |
Yuanting Li, Wei Wang, Yan Zhang, Suxiang Li, Xue Mei, Bo Huang. Bridging the gap between AI and traditional teaching methods in medical education: opportunities, challenges, and solutions. Frontiers in Medicine 2026; 13 doi: 10.3389/fmed.2026.1820545
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| 3 |
Wan-Chih Lin, Chi-Chih Wang, Ming-Chang Tsai, Chao-Yen Huang, Chun-Che Lin, Ming-Hseng Tseng. A YOLO Ensemble Framework for Detection of Barrett’s Esophagus Lesions in Endoscopic Images. Diagnostics 2025; 15(18) doi: 10.3390/diagnostics15182290
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| 4 |
Jiaqi Bo, Zishuai Liu, Yiran wang, Qingfeng Luo. Research progress on the application of artificial intelligence in colonoscopy. Gastroenterology & Endoscopy 2025; 3(4) doi: 10.1016/j.gande.2025.10.003
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| 5 |
Olga Brusnic, Adrian Boicean, Cristian Ichim, Paula Anderco, Danusia Onisor. Artificial Intelligence in Gastrointestinal Endoscopy and Hemostatic Decision-Making: Current Evidence, Clinical Implications and Implementation Barriers. Life 2026; 16(5) doi: 10.3390/life16050845
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