Artificial Intelligence in Gastrointestinal Endoscopy

BPG is committed to discovery and dissemination of knowledge

Cited by in CrossRef

For:	Rao V, Walia N, Parkash N, Wanigaratne T, Henshaw S, Chen G, Lo SW, Be KH, Robertson M, Zorron Cheng Tao Pu L. Availability and use of computer-aided detection during colonoscopy: A real-world observational study at an Australian tertiary center. World J Gastroenterol 2026; 32(4): 112698 [PMID: 41640871 DOI: 10.3748/wjg.v32.i4.112698]
URL:	https://www.wjgnet.com/2689-7164/full/v32/i4/112698.htm

(57) (43) (1) (0) (1) (24) (1) (1178) (1)

Number	Citing Articles
1	Di Kong, Yan Jiao, Ya-Hui Liu. From availability to adoption: Why endoscopist-level use determines the real-world impact of computer-aided detection in colonoscopy. World Journal of Gastroenterology 2026; 32(38): 118617 doi: 10.3748/wjg.118617 Abstract(16) \| Core Tip(16) \| Full Article(HTML)(29) \| Full Article (PDF)-959K(4) \| Full Article with Cover (PDF)-1267K(3) \| Full Article (XML)-92K(4) \| Audio-886K(1) \| Peer-Review Report-322K(7) \| Answering Reviewers-167K(7) \| Times Cited (0) \| Total Visits (64) \| Open

Number

Citing Articles

Di Kong, Yan Jiao, Ya-Hui Liu. From availability to adoption: Why endoscopist-level use determines the real-world impact of computer-aided detection in colonoscopy. World Journal of Gastroenterology 2026; 32(38): 118617 doi: 10.3748/wjg.118617

Copyright © 1993-2026 Baishideng Publishing Group Inc, 7041 Koll Center Parkway, Suite 160, Pleasanton, CA 94566, USA. All rights reserved, including rights relating to text and data mining, AI training, and similar technologies. For open-access content, the applicable copyright and licensing terms govern.