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5/11/2024 10:05:49 AM | Browse: 79 | Download: 169
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Received |
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2023-12-12 09:43 |
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Peer-Review Started |
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2023-12-12 09:43 |
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To Make the First Decision |
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Return for Revision |
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2024-04-10 06:10 |
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Revised |
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2024-04-10 09:15 |
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Second Decision |
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2024-04-19 02:43 |
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Accepted by Journal Editor-in-Chief |
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Accepted by Executive Editor-in-Chief |
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2024-04-19 07:18 |
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Articles in Press |
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2024-04-19 07:18 |
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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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2024-05-06 06:10 |
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Publish the Manuscript Online |
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2024-05-11 01:00 |
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) 2024. 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 |
Surgery |
Manuscript Type |
Minireviews |
Article Title |
Role of artificial intelligence in colorectal cancer
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Manuscript Source |
Invited Manuscript |
All Author List |
Gita Lingam, Taner Shakir, Rawen Kader and Manish Chand |
Funding Agency and Grant Number |
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Corresponding Author |
Taner Shakir, BSc, MBChB, Research Fellow, Surgeon, Department of Colorectal Surgery, University College London, Charles Bell House, 43-45 Foley St, London W1W 7TY, United Kingdom. taner.shakir.23@ucl.ac.uk |
Key Words |
Artificial intelligence; Colorectal cancer; Pre-operative; Intra-operative; Post-operative; Adjuncts; Colonoscopy |
Core Tip |
We reviewed the role of artificial intelligence (AI) in colorectal cancer as a whole. Divided into pre-operative, intra-operative and post-operative, we identified a number of adjuncts that can help the clinician. Endoscopic detection and diagnosis are two of the mainstays of AI in this field, however there are a number of other adjuncts that can help surgeons intraoperatively. These include identification of anatomy, and assessment of blood supply. Moreover, post-operative efficiency improvements with histopathological analysis can aid the clinician. Overall, these adjuncts are aimed at augmenting the clinicians experience to improve outcomes. |
Publish Date |
2024-05-11 01:00 |
Citation |
<p>Lingam G, Shakir T, Kader R, Chand M. Role of artificial intelligence in colorectal cancer. <i>Artif Intell Gastrointest Endosc</i> 2024; 5(2): 90723</p> |
URL |
https://www.wjgnet.com/2689-7164/full/v5/i2/90723.htm |
DOI |
https://dx.doi.org/10.37126/aige.v5.i2.90723 |
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