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For:	Minchenberg SB, Walradt T, Glissen Brown JR. Scoping out the future: The application of artificial intelligence to gastrointestinal endoscopy. World J Gastrointest Oncol 2022; 14(5): 989-1001 [PMID: 35646286 DOI: 10.4251/wjgo.v14.i5.989]
URL:	https://www.wjgnet.com/1948-5204/full/v14/i5/989.htm

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Number	Citing Articles
1	Yiyan Tan, Guoxiong Zhang, Weiming Weng, Jiajun Lai, Xiaofeng Wang, Yinghui Fu. Enhanced endoscopic techniques for gastrointestinal tumor resection using augmented reality and AI. PeerJ Computer Science 2026; 12 doi: 10.7717/peerj-cs.3734
2	Antje Timmer. Handbook of Epidemiology. 2023; doi: 10.1007/978-1-4614-6625-3_49-1
3	Bhamini Vadhwana, Munir Tarazi, Vanash Patel. The Role of Artificial Intelligence in Prospective Real-Time Histological Prediction of Colorectal Lesions during Colonoscopy: A Systematic Review and Meta-Analysis. Diagnostics 2023; 13(20) doi: 10.3390/diagnostics13203267
4	Lie Zheng, Yong-Quan Shi, Tao Xue, Sheng-Lei Duan. Evaluating the detection rate and pathological features of polyps in patients with upper gastrointestinal endoscopy. World Journal of Gastrointestinal Endoscopy 2025; 17(5): 105471 doi: 10.4253/wjge.v17.i5.105471 Abstract(419) \| Core Tip(417) \| Full Article(HTML)(1304) \| Full Article (PDF)-426K(107) \| Full Article with Cover (PDF)-742K(164) \| Full Article (XML)-119K(100) \| Audio-343K(8) \| Peer-Review Report-221K(80) \| Answering Reviewers-197K(85) \| Times Cited (1) \| Total Visits (2027) \| Open
5	Rishi Chowdhary, Param Darpan Sheth, Insiya Mohammed Rampurawala, Chitresh Kapadia, Chirag Vohra, Rahul Chowdhary, Kirti Arora, Varna Taranikanti, Ashita Rukmini Vuthaluru, Omesh Goyal, Manjeet Kumar Goyal. Multimodal artificial intelligence in capsule endoscopy: Integrating video and sensor data for advanced gastrointestinal diagnostics. Artificial Intelligence in Gastrointestinal Endoscopy 2026; 7(1): 117988 doi: 10.37126/aige.v7.i1.117988 Abstract(109) \| Core Tip(109) \| Full Article(HTML)(391) \| Full Article (PDF)-1078K(58) \| Full Article with Cover (PDF)-1302K(26) \| Full Article (XML)-136K(31) \| Audio-512K(5) \| Peer-Review Report-217K(21) \| Answering Reviewers-119K(25) \| Times Cited (0) \| Total Visits (726) \| Open
6	Mingbo Bao, Wenjia Liu, Haifeng Shi, Mingzhu Meng, Jian Cao, Palash Mandal. Use of Modified YOLOv5 Algorithm in the Differential Diagnosis of Colonic Crohn’s Disease and Ulcerative Colitis on CTE Images. Gastroenterology Research and Practice 2025; 2025(1) doi: 10.1155/grp/1506567
7	Debasree Sarkar. Artificial Intelligence for Multi-omics Analysis Part B. Progress in Molecular Biology and Translational Science 2026; 222 doi: 10.1016/bs.pmbts.2026.02.003
8	Nadia Guidozzi, Nainika Menon, Swathikan Chidambaram, Sheraz Rehan Markar. The role of artificial intelligence in the endoscopic diagnosis of esophageal cancer: a systematic review and meta-analysis. Diseases of the Esophagus 2023; 36(12) doi: 10.1093/dote/doad048
9	Xiaoming Xu, Hualei Chen, Yun Chen, Lijuan Fan. Application of artificial intelligence in eosinophilic esophagitis. Frontiers in Immunology 2025; 16 doi: 10.3389/fimmu.2025.1712113
10	Abdullah A.M. Mohammed, Elhossiny I.E. Ibrahim, Mohammed E.S.A. Samiea, Enas M. Korayem, Dalia I. Aggour. “Role of artificial intelligence in diagnosis of pancreatic cystic lesions”. Al-Azhar Assiut Medical Journal 2026; 24(2) doi: 10.4103/azmj.azmj_120_25
11	Nainika Menon, Nadia Guidozzi, Swathikan Chidambaram, Sheraz Rehan Markar. Performance of radiomics-based artificial intelligence systems in the diagnosis and prediction of treatment response and survival in esophageal cancer: a systematic review and meta-analysis of diagnostic accuracy. Diseases of the Esophagus 2023; 36(6) doi: 10.1093/dote/doad034
12	Nicoleta Podină, Elena Codruța Gheorghe, Alina Constantin, Irina Cazacu, Vlad Croitoru, Cristian Gheorghe, Daniel Vasile Balaban, Mariana Jinga, Cristian George Țieranu, Adrian Săftoiu. Artificial Intelligence in Pancreatic Imaging: A Systematic Review. United European Gastroenterology Journal 2025; 13(1) doi: 10.1002/ueg2.12723
13	Jia-xin Tu, Xue-ting Lin, Hui-qing Ye, Shan-lan Yang, Li-fang Deng, Ruo-ling Zhu, Lei Wu, Xiao-qiang Zhang. Global research trends of artificial intelligence applied in esophageal carcinoma: A bibliometric analysis (2000-2022) via CiteSpace and VOSviewer. Frontiers in Oncology 2022; 12 doi: 10.3389/fonc.2022.972357
14	Fatemeh Rousta, Ali Esteki, Ahmad shalbaf, Amir Sadeghi, Pardis Ketabi Moghadam, Ardalan Voshagh. Application of artificial intelligence in pancreas endoscopic ultrasound imaging- A systematic review. Computer Methods and Programs in Biomedicine 2024; 250 doi: 10.1016/j.cmpb.2024.108205

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