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Apr 28, 2021 (publication date) through Dec 2, 2024
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Publication Name
Artificial Intelligence in Gastrointestinal Endoscopy
ISSN
2689-7164
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Baishideng Publishing Group Inc, 7041 Koll Center Parkway, Suite 160, Pleasanton, CA 94566, USA
| For: | Li JW, Ang TL. Colonoscopy and artificial intelligence: Bridging the gap or a gap needing to be bridged? Artif Intell Gastrointest Endosc 2021; 2(2): 36-49 [DOI: 10.37126/aige.v2.i2.36] |
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| URL: | https://www.wjgnet.com/2689-7164/full/v2/i2/36.htm |
| Number | Citing Articles |
| 1 |
JW Li, LM Wang, TL Ang. Artificial intelligence-assisted colonoscopy: a narrative review of current data and clinical applications. Singapore Medical Journal 2022; 63(3): 118 doi: 10.11622/smedj.2022044
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| 2 |
Vinícius Remus Ballotin, Lucas Goldmann Bigarella, John Soldera, Jonathan Soldera. Deep learning applied to the imaging diagnosis of hepatocellular carcinoma. Artificial Intelligence in Gastrointestinal Endoscopy 2021; 2(4): 127-135 doi: 10.37126/aige.v2.i4.127
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| 3 |
James Weiquan Li, Tiongsun Chia, Kwong Ming Fock, Kenny De Wei Chong, Yu Jun Wong, Tiing Leong Ang. Artificial intelligence and polyp detection in colonoscopy: Use of a single neural network to achieve rapid polyp localization for clinical use. Journal of Gastroenterology and Hepatology 2021; 36(12): 3298 doi: 10.1111/jgh.15642
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| 4 |
James Weiquan Li, Lai Mun Wang, Katsuro Ichimasa, Kenneth Weicong Lin, James Chi-Yong Ngu, Tiing Leong Ang. Use of artificial intelligence in the management of T1 colorectal cancer: a new tool in the arsenal or is deep learning out of its depth?. Clinical Endoscopy 2024; 57(1): 24 doi: 10.5946/ce.2023.036
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| 5 |
Kenneth Weicong Lin, Tiing Leong Ang, James Weiquan Li. Role of artificial intelligence in early detection and screening for pancreatic adenocarcinoma. Artificial Intelligence in Medical Imaging 2022; 3(2): 21-32 doi: 10.35711/aimi.v3.i2.21
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| 8 |
Joel Shor, Carson McNeil, Yotam Intrator, Joseph R. Ledsam, Hiro-o Yamano, Daisuke Tsurumaru, Hiroki Kayama, Atsushi Hamabe, Koji Ando, Mitsuhiko Ota, Haruei Ogino, Hiroshi Nakase, Kaho Kobayashi, Masaaki Miyo, Eiji Oki, Ichiro Takemasa, Ehud Rivlin, Roman Goldenberg. Predicting the generalization of computer aided detection (CADe) models for colonoscopy. Discover Artificial Intelligence 2024; 4(1) doi: 10.1007/s44163-024-00187-4
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Sarah Tham, Frederick H. Koh, Jasmine Ladlad, Koy-Min Chue, Cui-Li Lin, Eng-Kiong Teo, Fung-Joon Foo. The imitation game: a review of the use of artificial intelligence in colonoscopy, and endoscopists’ perceptions thereof. Annals of Coloproctology 2023; 39(5): 385 doi: 10.3393/ac.2022.00878.0125
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