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Articles Published Processes
12/28/2020 7:45:42 AM | Browse: 447 | Download: 619
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Received |
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2020-11-01 00:22 |
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Peer-Review Started |
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2020-11-01 00:22 |
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To Make the First Decision |
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Return for Revision |
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2020-11-25 02:51 |
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Revised |
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2020-11-29 09:45 |
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Second Decision |
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2020-12-02 12:05 |
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Accepted by Journal Editor-in-Chief |
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Accepted by Company Editor-in-Chief |
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2020-12-06 01:52 |
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Articles in Press |
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2020-12-06 01:52 |
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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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2020-12-11 16:25 |
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Publish the Manuscript Online |
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2020-12-28 07:45 |
| 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) 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 |
Artificial intelligence assisted endocytoscopy: A novel eye in endoscopy
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| Manuscript Source |
Invited Manuscript |
| All Author List |
Monika Peshevska-Sekulovska, Tsvetelina Veselinova Velikova and Milena Peruhova |
| ORCID |
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| Funding Agency and Grant Number |
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| Corresponding Author |
Milena Peruhova, MD, Chief Doctor, Department of Gastroenterology, University Hospital Lozenetz, Kozyak 1 str., Sofia 1407, Bulgaria. mperuhova@gmail.com |
| Key Words |
Endoscopic imaging; Endocytoscopy; Artificial intelligence; Artificial intelligence-assisted endoscopy; Colorectal cancer; Optical histology |
| Core Tip |
The possibility of obtaining "real-time histology" by endocytoscopy (EC) provides a time-saving and low-cost high-quality diagnosing process. It provides detailed detection and characterizations of gastrointestinal neoplasms, where EC defines the degree of neoplastic cellular transformation by visualizing variation in cell size, disorders of polarity, and nuclei deformity. Moreover, the EC system can evaluate the depth of cancer invasion and predict the therapeutic outcome. In line with this, one of the significant benefits from artificial intelligence (AI)-supported EC is avoiding unnecessary polypectomies and other pathological examinations and reducing redundant surgical procedures. Another major benefit of AI-assisted EC is to ensure enhanced delineation between benign and neoplastic colonic lesions. Furthermore, emerging EC-computer-aided diagnosis provides a novel endoscopic tool that contributes to the dramatic improvement of inflammatory bowel disease diagnosing and management. |
| Publish Date |
2020-12-28 07:45 |
| Citation |
Peshevska-Sekulovska M, Velikova TV, Peruhova M. Artificial intelligence assisted endocytoscopy: A novel eye in endoscopy. Artif Intell Gastrointest Endosc 2020; 1(3): 44-52 |
| URL |
https://www.wjgnet.com/2689-7164/full/v1/i3/44.htm |
| DOI |
https://dx.doi.org/10.37126/aige.v1.i3.44 |
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