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Articles Published Processes
10/14/2020 11:33:23 AM | Browse: 586 | Download: 1357
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Received |
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2020-05-27 20:24 |
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Peer-Review Started |
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2020-05-27 20:24 |
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To Make the First Decision |
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Return for Revision |
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2020-08-05 02:32 |
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Revised |
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2020-08-12 00:41 |
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Second Decision |
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2020-09-11 12:56 |
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Accepted by Journal Editor-in-Chief |
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Accepted by Executive Editor-in-Chief |
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2020-09-11 23:14 |
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Articles in Press |
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2020-09-11 23:14 |
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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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2020-10-09 03:19 |
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Publish the Manuscript Online |
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2020-10-14 11:33 |
| ISSN |
1007-9327 (print) and 2219-2840 (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) 2020. 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 |
Role of artificial intelligence in the diagnosis of oesophageal neoplasia: 2020 an endoscopic odyssey
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| Manuscript Source |
Invited Manuscript |
| All Author List |
Mohamed Hussein, Juana González-Bueno Puyal, Peter Mountney, Laurence B Lovat and Rehan Haidry |
| ORCID |
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| Funding Agency and Grant Number |
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| Corresponding Author |
Mohamed Hussein, BSc, MBBS, MRCP, Academic Fellow, Wellcome/EPSRC Centre for Interventional and Surgical Sciences, Division of Surgery and Interventional Sciences, University College London, Charles Bell House, 43-45 Foley Street, Fitzrovia, London W1W 7TY, United Kingdom. mohamed.hussein3@nhs.net |
| Key Words |
Artificial intelligence; Oesophageal neoplasia; Barrett's oesophagus; Squamous dysplasia; Computer aided diagnosis; Deep learning |
| Core Tip |
Computer aided diagnosis of oesophageal pathology may potentially be an adjunct for the endoscopist which will improve the detection of early neoplasia in Barrett’s oesophagus and early squamous neoplasia such that curative endoscopic therapy can be offered. There are significant miss rates of oesophageal cancers despite advances in endoscopic imaging modalities and an artificial intelligence (AI) tool will off-set human factors associated with some miss rates. To fulfil the potential of this exciting area of AI certain criteria need to be met which we will expand upon. Once implemented this will have a significant impact on this field of endoscopy. |
| Publish Date |
2020-10-14 11:33 |
| Citation |
Hussein M, González-Bueno Puyal J, Mountney P, Lovat LB, Haidry R. Role of artificial intelligence in the diagnosis of oesophageal neoplasia: 2020 an endoscopic odyssey. World J Gastroenterol 2020; 26(38): 5784-5796 |
| URL |
https://www.wjgnet.com/1007-9327/full/v26/i38/5784.htm |
| DOI |
https://dx.doi.org/10.3748/wjg.v26.i38.5784 |
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