Artificial Intelligence in Gastrointestinal Endoscopy

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Sep 8, 2025 (publication date) through Dec 22, 2025

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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:	Ding JC, Zhang J. Endoscopic image analysis assisted by machine learning: Algorithmic advancements and clinical uses. Artif Intell Gastrointest Endosc 2025; 6(3): 108281 [DOI: 10.37126/aige.v6.i3.108281]
URL:	https://www.wjgnet.com/2689-7164/full/v6/i3/108281.htm

Number	Citing Articles
1	Cristina Rebeca Fogas, Valerio Balassone. Artificial intelligence in gastrointestinal endoscopy: Focus on analytical depth and endoscopist training. Artificial Intelligence in Gastrointestinal Endoscopy 2025; 6(4): 115140 doi: 10.37126/aige.v6.i4.115140 Abstract(12) \| Core Tip(11) \| Full Article(HTML)(97) \| Full Article with Cover (PDF)-577K(6) \| Audio-1325K(5) \| Peer-Review Report-202K(8) \| Answering Reviewers-65K(9) \| Full Article (PDF)-397K(41) \| Full Article (XML)-76K(8) \| Times Cited (0) \| Total Visits (467) \| Open

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Citing Articles

Cristina Rebeca Fogas, Valerio Balassone. Artificial intelligence in gastrointestinal endoscopy: Focus on analytical depth and endoscopist training. Artificial Intelligence in Gastrointestinal Endoscopy 2025; 6(4): 115140 doi: 10.37126/aige.v6.i4.115140