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Articles Published Processes
9/6/2021 10:32:49 AM | Browse: 535 | Download: 1118
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Received |
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2021-05-22 14:32 |
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Peer-Review Started |
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2021-05-22 14:37 |
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To Make the First Decision |
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Return for Revision |
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2021-06-18 05:35 |
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Revised |
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2021-06-20 12:54 |
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Second Decision |
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2021-07-15 03:23 |
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Accepted by Journal Editor-in-Chief |
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Accepted by Executive Editor-in-Chief |
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2021-07-15 07:58 |
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Articles in Press |
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2021-07-15 07:58 |
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Publication Fee Transferred |
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Edit the Manuscript by Language Editor |
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Typeset the Manuscript |
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2021-09-02 07:28 |
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Publish the Manuscript Online |
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2021-09-06 10:32 |
| ISSN |
2689-7164 (online) |
| Open Access |
This article is an open-access article that was selected by an in-house editor and fully peer-reviewed by external reviewers. It is distributed in accordance with the Creative Commons Attribution NonCommercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited and the use is non-commercial. See: http://creativecommons.org/licenses/by-nc/4.0/ |
| Copyright |
© The Author(s) 2021. Published by Baishideng Publishing Group Inc. All rights reserved. |
| Article Reprints |
For details, please visit: http://www.wjgnet.com/bpg/gerinfo/247
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| Permissions |
For details, please visit: http://www.wjgnet.com/bpg/gerinfo/207
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| Publisher |
Baishideng Publishing Group Inc, 7041 Koll Center Parkway, Suite 160, Pleasanton, CA 94566, USA |
| Website |
http://www.wjgnet.com |
| Category |
Gastroenterology & Hepatology |
| Manuscript Type |
Minireviews |
| Article Title |
Artificial intelligence in endoscopy: The challenges and future directions
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| Manuscript Source |
Unsolicited Manuscript |
| All Author List |
Xiaohong Gao and Barbara Braden |
| ORCID |
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| Funding Agency and Grant Number |
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| Corresponding Author |
Xiaohong Gao, PhD, Full Professor, Department of Computer Science, Middlesex University, The Burroughs, Hendon, London NW4 4BT, London NW4 4BT, United Kingdom. x.gao@mdx.ac.uk |
| Key Words |
Deep learning; Oesophageal cancer; Early detection; Squamous cell cancer; Barrett’s oesophagus |
| Core Tip |
Precancerous changes in the lining of the oesophagus are easily missed during endoscopy as these lesions usually grow flat with only subtle change in colour, surface pattern and microvessel structure. Many factors impair the quality of endoscopy and subsequently the early detection of oesophageal cancer. Artificial intelligence (AI) solutions provide independence from the skills and experience of the operator in lesion recognition. Recent developments have introduced promising AI systems that will support the clinician in recognising, delineating and classifying precancerous and early cancerous changes during the endoscopy of the oesophagus in real-time. |
| Publish Date |
2021-09-06 10:32 |
| Citation |
Gao X, Braden B. Artificial intelligence in endoscopy: The challenges and future directions. Artif Intell Gastrointest Endosc 2021; 2(4): 117-126 |
| URL |
https://www.wjgnet.com/2689-7164/full/v2/i4/117.htm |
| DOI |
https://dx.doi.org/10.37126/aige.v2.i4.117 |
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