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For:	Christou CD, Tsoulfas G. Challenges involved in the application of artificial intelligence in gastroenterology: The race is on! World J Gastroenterol 2023; 29(48): 6168-6178 [PMID: 38186861 DOI: 10.3748/wjg.v29.i48.6168]
URL:	https://www.wjgnet.com/1007-9327/full/v29/i48/6168.htm

(154) (170) (0) (0) (0) (9) (1) (1) (4603) (17)

Number	Citing Articles
1	Michael F. Byrne, Jens Rittscher, James E. East. Synergies Among Clinicians, Academia, and Industry in the Age of Artificial Intelligence. Gastroenterology 2025; 169(3) doi: 10.1053/j.gastro.2025.05.007
2	Chinedu Chamberlin Obasi, Alma Tamunonengiofori Banigo. Nano-Bio-Medicine for Gastrointestinal Diseases. 2026; doi: 10.1016/B978-0-443-34039-0.00011-1
3	Horia Minea, Ana-Maria Singeap, Manuela Minea, Stefan Chiriac, Carol Stanciu, Anca Trifan. Artificial intelligence in inflammatory bowel disease: Current applications and future directions. World Journal of Gastroenterology 2025; 31(39): 111353 doi: 10.3748/wjg.v31.i39.111353 Abstract(131) \| Core Tip(100) \| Full Article(HTML)(825) \| Full Article (PDF)-1153K(320) \| Full Article with Cover (PDF)-1445K(53) \| Full Article (XML)-321K(50) \| Audio-428K(29) \| Peer-Review Report-305K(34) \| Answering Reviewers-262K(49) \| Times Cited (3) \| Total Visits (1384) \| Open
4	Nicholas Wan, Celine Chan, Jin Lin Tan, Mohamed Asif Chinnaratha, Rajvinder Singh. Endoscopists’ knowledge, perceptions, and attitudes toward the use of artificial intelligence in endoscopy: a systematic review. Gastrointestinal Endoscopy 2025; 102(2) doi: 10.1016/j.gie.2025.03.001
5	Walaa Abdelhamed, Mohamed El-Kassas. Integrating artificial intelligence into multidisciplinary evaluations of HCC: opportunities and challenges. Hepatoma Research 2025; doi: 10.20517/2394-5079.2024.138
6	Rupjyoti Talukdar. Acute pancreatitis: Translating early mechanisms to bedside management. Indian Journal of Gastroenterology 2025; 44(6) doi: 10.1007/s12664-025-01826-z
7	Miguel Suarez, Raquel Martínez, Félix González-Martínez, Ana María Torres, Jorge Mateo. Artificial intelligence and digital transformation of gastroenterology and hepatology: A critical review of clinical applications and future challenges. World Journal of Hepatology 2026; 18(2): 114834 doi: 10.4254/wjh.v18.i2.114834 Abstract(131) \| Core Tip(66) \| Full Article(HTML)(356) \| Full Article (PDF)-1282K(978) \| Full Article with Cover (PDF)-1525K(913) \| Full Article (XML)-621K(41) \| Audio-1495K(11) \| Peer-Review Report-253K(28) \| Answering Reviewers-139K(71) \| Supplementary Material-398K(23) \| Times Cited (1) \| Total Visits (2525) \| Open
8	Sabrina Xin Zi Quek, Khek Yu Ho. Artificial Intelligence in Upper Gastrointestinal Diagnosis. The Korean Journal of Helicobacter and Upper Gastrointestinal Research 2025; 25(3) doi: 10.7704/kjhugr.2025.0024
9	Laurie B. Grossberg, Grace Geeganage, Aditya Mithal, Tina Deyhim, Andy Santisteban-Silva, Konstantinos Papamichael, Sami Elamin, Adam S. Cheifetz, Tyler M. Berzin, Loren G. Rabinowitz. Artificial intelligence detection of endoscopic moderate-to-severe ulcerative colitis: a novel tool to enhance clinical trial recruitment. iGIE 2026; doi: 10.1016/j.igie.2026.03.001
10	Yi-Nan Yan, Jing-Qi Zeng, Xia Ding. Artificial intelligence in functional gastrointestinal disorders: From precision diagnosis to preventive healthcare. Artificial Intelligence in Gastroenterology 2026; 7(1): 112357 doi: 10.35712/aig.v7.i1.112357 Abstract(90) \| Core Tip(72) \| Full Article(HTML)(841) \| Full Article (PDF)-2207K(260) \| Full Article with Cover (PDF)-2508K(40) \| Full Article (XML)-224K(42) \| Audio-688K(39) \| Peer-Review Report-222K(35) \| Answering Reviewers-171K(43) \| Times Cited (2) \| Total Visits (1334) \| Open
11	Himanshu Agrawal, Nikhil Gupta, Himanshu Tanwar, Natasha Panesar. Artificial intelligence in gastrointestinal surgery: A minireview of predictive models and clinical applications. Artificial Intelligence in Gastroenterology 2025; 6(1): 108198 doi: 10.35712/aig.v6.i1.108198 Abstract(408) \| Core Tip(397) \| Full Article(HTML)(1140) \| Full Article (PDF)-713K(161) \| Full Article with Cover (PDF)-923K(201) \| Full Article (XML)-390K(85) \| Audio-2093K(26) \| Peer-Review Report-201K(102) \| Answering Reviewers-248K(86) \| Times Cited (1) \| Total Visits (2246) \| Open
12	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
13	Rocio Sedano, Virginia Solitano, Sudheer K. Vuyyuru, Yuhong Yuan, Jurij Hanžel, Christopher Ma, Olga Maria Nardone, Vipul Jairath. Artificial intelligence to revolutionize IBD clinical trials: a comprehensive review. Therapeutic Advances in Gastroenterology 2025; 18 doi: 10.1177/17562848251321915
14	Kuldeep Rajpoot. Role of Artificial Intelligence in Nanomedicine and Organ-specific Therapy: An Updated Review. Current Drug Targets 2025; 26(13) doi: 10.2174/0113894501394785250715165404
15	Ruiye Yang, Mengqi Deng, Xiaoran Zheng, Yaoqi Deng, Junyi Jiang, Jinwei Miao. Generative artificial intelligence in public health: a framework for governance and systemic integration. Frontiers in Medicine 2026; 13 doi: 10.3389/fmed.2026.1614656
16	Chrysanthos D Christou, Olga Sitsiani, Panagiotis Boutos, Georgios Katsanos, Georgios Papadakis, Anastasios Tefas, Vassilios Papalois, Georgios Tsoulfas. Comparison of ChatGPT-3.5 and GPT-4 as potential tools in artificial intelligence-assisted clinical practice in renal and liver transplantation. World Journal of Transplantation 2025; 15(3): 103536 doi: 10.5500/wjt.v15.i3.103536 Abstract(509) \| Core Tip(506) \| Full Article(HTML)(2014) \| Full Article (PDF)-491K(158) \| Full Article with Cover (PDF)-666K(152) \| Full Article (XML)-167K(107) \| Audio-229K(17) \| Peer-Review Report-230K(101) \| Answering Reviewers-250K(88) \| Supplementary Material-643K(87) \| Times Cited (2) \| Total Visits (2905) \| Open
17	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(53) \| Core Tip(72) \| Full Article(HTML)(266) \| Full Article (PDF)-648K(40) \| Full Article with Cover (PDF)-1017K(28) \| Full Article (XML)-239K(35) \| Audio-1996K(21) \| Peer-Review Report-270K(26) \| Answering Reviewers-297K(24) \| Times Cited (0) \| Total Visits (460) \| Open

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