| 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] |
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| URL: | https://www.wjgnet.com/1948-5204/full/v29/i48/6168.htm |
| 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): 531 doi: 10.1053/j.gastro.2025.05.007
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| 2 |
Chinedu Chamberlin Obasi, Alma Tamunonengiofori Banigo. Nano-Bio-Medicine for Gastrointestinal Diseases. 2026; : 257 doi: 10.1016/B978-0-443-34039-0.00011-1
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| 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
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| 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): 160 doi: 10.1016/j.gie.2025.03.001
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| 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
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| 6 |
Rupjyoti Talukdar. Acute pancreatitis: Translating early mechanisms to bedside management. Indian Journal of Gastroenterology 2025; 44(6): 748 doi: 10.1007/s12664-025-01826-z
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| 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(32) |
Core Tip(16) |
Full Article(HTML)(121)
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Full Article with Cover (PDF)-1525K(13)
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Audio-1495K(7)
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Peer-Review Report-253K(11)
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Answering Reviewers-139K(11)
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Full Article (XML)-621K(14)
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| 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): 251 doi: 10.7704/kjhugr.2025.0024
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| 9 |
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
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| 10 |
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
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| 11 |
Debasree Sarkar. . Progress in Molecular Biology and Translational Science 2026; doi: 10.1016/bs.pmbts.2026.02.003
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| 12 |
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
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| 13 |
Kuldeep Rajpoot. Role of Artificial Intelligence in Nanomedicine and Organ-specific Therapy: An Updated Review. Current Drug Targets 2025; 26(13): 921 doi: 10.2174/0113894501394785250715165404
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| 14 |
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(481) |
Core Tip(474) |
Full Article(HTML)(1904)
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Full Article with Cover (PDF)-666K(124)
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Audio-229K(15)
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Peer-Review Report-230K(80)
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Answering Reviewers-250K(71)
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Supplementary Material-643K(69)
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Full Article (PDF)-491K(140)
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Full Article (XML)-167K(90)
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Times Cited (2)
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Total Visits (5573)
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Open
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| 15 |
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
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