Artificial Intelligence in Gastrointestinal Endoscopy

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178

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2108

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514

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Dec 8, 2023 (publication date) through Feb 7, 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:	Goetz N, Hanigan K, Cheng RKY. Artificial intelligence fails to improve colonoscopy quality: A single centre retrospective cohort study. Artif Intell Gastrointest Endosc 2023; 4(2): 18-26 [DOI: 10.37126/aige.v4.i2.18]
URL:	https://www.wjgnet.com/2689-7164/full/v4/i2/18.htm

Number	Citing Articles
1	Vikram Rao, Nirbaanjot Walia, Nikita Parkash, Teagan Wanigaratne, Suzannah Henshaw, Gordon Chen, Sheng Wei Lo, Kim Hay Be, Marcus Robertson, Leonardo Zorron Cheng Tao Pu. Availability and use of computer-aided detection during colonoscopy: A real-world observational study at an Australian tertiary center. World Journal of Gastroenterology 2026; 32(4): 112698 doi: 10.3748/wjg.v32.i4.112698 Abstract(26) \| Core Tip(15) \| Full Article(HTML)(84) \| Full Article with Cover (PDF)-843K(12) \| Audio-1041K(3) \| Peer-Review Report-383K(11) \| Answering Reviewers-177K(8) \| Full Article (PDF)-547K(21) \| Full Article (XML)-106K(8) \| Times Cited (0) \| Total Visits (800) \| Open
2	Eyad Gadour, Zeinab Hassan, Ahmed Hashim, Bogdan Miutescu, Hussein Okasha. Effectiveness of artificial intelligence in improving colonoscopy quality. The Egyptian Journal of Internal Medicine 2024; 36(1) doi: 10.1186/s43162-024-00371-z