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For:	Ma T, Liu GQ, Guo J, Ji R, Shao XJ, Li YQ, Li Z, Zuo XL. Artificial intelligence-aided optical biopsy improves the diagnosis of esophageal squamous neoplasm. World J Gastroenterol 2025; 31(13): 104370 [PMID: 40248066 DOI: 10.3748/wjg.v31.i13.104370]
URL:	https://www.wjgnet.com/1007-9327/full/v31/i13/104370.htm

(90) (100) (0) (0) (0) (1) (3152) (7)

Number	Citing Articles
1	Ken Kurisaki, Shinichiro Kobayashi, Taro Akashi, Yasuhiko Nakao, Masayuki Fukumoto, Kaito Tasaki, Tomohiko Adachi, Susumu Eguchi, Kengo Kanetaka. Opportunities and challenges of artificial intelligence-assisted endoscopy and high-quality data for esophageal squamous cell carcinoma. World Journal of Gastrointestinal Oncology 2026; 18(1): 111357 doi: 10.4251/wjgo.v18.i1.111357 Abstract(66) \| Core Tip(92) \| Full Article(HTML)(289) \| Full Article (PDF)-648K(44) \| Full Article with Cover (PDF)-1017K(30) \| Full Article (XML)-239K(40) \| Audio-1996K(26) \| Peer-Review Report-270K(31) \| Answering Reviewers-297K(27) \| Times Cited (1) \| Total Visits (502) \| Open
2	Xiaoyan Men, Yanfeng Wang, Yan Zhao, Huitao Zhang, Xiao Zhang. Endoscopy-Based Deep Learning Algorithms vs Endoscopists in Early Esophageal Squamous Cell Carcinoma Detection: A Systematic Review and Meta-Analysis. American Journal of Gastroenterology 2026; doi: 10.14309/ajg.0000000000004067
3	Yue Xu, Renquan Luo, Jiali Tang, Lu Liu, Haideng Yang, Jinbang Peng, Zhenzhen Wang, Xiuxiu Jin, Lingyan Shen, Lingling Yan, Jiacheng Li, Binbin Gu, Jun Wang, Xiang Jin, Xianbin Zhou, Ying Zhou, Jiaxiu Ying, Congni Zhu, Siyan Yan, Shaowei Li, Xinli Mao, Yu Zhang. Artificial Intelligence-Assisted Confocal Laser Endomicroscopy for Predicting Invasion Depth of Superficial Esophageal Mucosal Lesions: A Cohort Study. Clinical and Translational Gastroenterology 2026; doi: 10.14309/ctg.0000000000001044
4	Guanqun Liu, Guangchao Li, Zhen Li, Xuejun Shao, Rui Ji, Tian Ma, Yan Zhang, Jingran Su, Qingqing Qi, Jing Guo, Yishan He, Xiaoxiao Yang, Yanqing Li, Xiuli Zuo. Deep learning-aided optical biopsy achieves whole-chain diagnosis of Correa cascade of gastric cancer: a prospective study. BMC Medicine 2025; 23(1) doi: 10.1186/s12916-025-04310-9
5	Kassem Barada, Jamil Mrad, Mariam Baydoun, Noelle El Asmar. Role of artificial intelligence in the detection and characterization of gastrointestinal premalignant and early malignant lesions. World Journal of Gastroenterology 2025; 31(44): 111160 doi: 10.3748/wjg.v31.i44.111160 Abstract(90) \| Core Tip(110) \| Full Article(HTML)(705) \| Full Article (PDF)-927K(227) \| Full Article with Cover (PDF)-1252K(251) \| Full Article (XML)-654K(32) \| Audio-804K(17) \| Peer-Review Report-260K(31) \| Answering Reviewers-124K(46) \| Times Cited (1) \| Total Visits (1325) \| Open
6	Amir Rafati Fard, Simon C. Williams, Kieran J. Smith, Jasneet K. Dhaliwal, Tomas Ferreira, Adrito Das, Joachim Starup-Hansen, John G. Hanrahan, Chan Hee Koh, Danyal Z. Khan, Danail Stoyanov, Hani J. Marcus. Comparing artificial intelligence and healthcare professional performance in surgical and interventional video analysis: a systematic review and meta-analysis. npj Digital Medicine 2026; 9(1) doi: 10.1038/s41746-026-02401-2
7	月徐. Advances in Artificial Intelligence-Assisted Endoscopic Diagnosis of Esophageal Squamous Cell Carcinoma. Advances in Clinical Medicine 2026; 16(03) doi: 10.12677/acm.2026.1631187

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