Artificial Intelligence in Gastrointestinal Endoscopy

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155

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Mar 28, 2025 (publication date) through Feb 20, 2026

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Artificial Intelligence in Gastrointestinal Endoscopy

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2689-7164

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Baishideng Publishing Group Inc, 7041 Koll Center Parkway, Suite 160, Pleasanton, CA 94566, USA

Cited by in CrossRef

For:	Mihara H, Nanjo S, Motoo I, Ando T, Fujinami H, Yasuda I. Artificial intelligence model on images of functional dyspepsia. Artif Intell Gastrointest Endosc 2025; 6(1): 105674 [DOI: 10.37126/aige.v6.i1.105674]
URL:	https://www.wjgnet.com/2689-7164/full/v6/i1/105674.htm

Number	Citing Articles
1	Heeyoung Moon, Da-Eun Yoon, Junsuk Kim, Younkuk Choi, Heekyung Kim, In-Seon Lee, Younbyoung Chae. Identifying key features for determining the patterns of patients with functional dyspepsia using machine learning. Frontiers in Physiology 2025; 16 doi: 10.3389/fphys.2025.1658866
2	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(14) \| Core Tip(9) \| Full Article(HTML)(46) \| Full Article with Cover (PDF)-1525K(8) \| Audio-1495K(6) \| Peer-Review Report-253K(8) \| Answering Reviewers-139K(7) \| Supplementary Material-398K(6) \| Full Article (PDF)-1282K(10) \| Full Article (XML)-621K(10) \| Times Cited (0) \| Total Visits (329) \| Open
3	Chaehyun Park, Hayun Jin, Boram Lee, Young-Eun Choi, Ojin Kwon, Mi Young Lim, Donghyun Nam, Dong-Jun Choi, Jun-Hwan Lee, Jae-Woo Park, Seok-Jae Ko, Hojun Kim. Machine learning-based prediction of herbal medicine response in functional dyspepsia: protocol for a randomized, assessor-blinded, multicenter trial. Frontiers in Medicine 2026; 13 doi: 10.3389/fmed.2026.1716891
4	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(29) \| Core Tip(21) \| Full Article(HTML)(391) \| Full Article with Cover (PDF)-2508K(12) \| Audio-688K(31) \| Peer-Review Report-222K(12) \| Answering Reviewers-171K(14) \| Full Article (PDF)-2207K(82) \| Full Article (XML)-224K(11) \| Times Cited (0) \| Total Visits (1317) \| Open