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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/1007-9327/full/v6/i1/105674.htm

(120) (127) (0) (0) (0) (15) (1) (3143) (5)

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(172) \| Core Tip(117) \| Full Article(HTML)(621) \| Full Article (PDF)-1282K(1042) \| Full Article with Cover (PDF)-1525K(957) \| Full Article (XML)-621K(62) \| Audio-1495K(14) \| Peer-Review Report-253K(52) \| Answering Reviewers-139K(93) \| Supplementary Material-398K(42) \| Times Cited (2) \| Total Visits (2982) \| Open
3	Manal Hamdan, Zaid Badr, Sergio E. Uribe, Marcel Reymus, Elsbeth Kalenderian, Falk Schwendicke. No-Code and Low-Code Artificial Intelligence in Healthcare Imaging: A Scoping Review. International Dental Journal 2026; 76(6) doi: 10.1016/j.identj.2026.109797
4	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
5	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(208) \| Core Tip(113) \| Full Article(HTML)(1197) \| Full Article (PDF)-2207K(297) \| Full Article with Cover (PDF)-2533K(67) \| Full Article (XML)-224K(61) \| Audio-688K(44) \| Peer-Review Report-222K(53) \| Answering Reviewers-171K(57) \| Times Cited (2) \| Total Visits (1825) \| Open

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