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Articles Published Processes
12/28/2022 7:50:13 AM | Browse: 273 | Download: 879
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Received |
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2022-10-16 15:32 |
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Peer-Review Started |
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2022-10-16 15:34 |
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To Make the First Decision |
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Return for Revision |
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2022-11-15 10:33 |
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Revised |
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2022-11-25 11:07 |
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Second Decision |
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2022-12-14 04:07 |
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Accepted by Journal Editor-in-Chief |
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Accepted by Executive Editor-in-Chief |
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2022-12-14 17:37 |
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Articles in Press |
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2022-12-14 17:37 |
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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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2022-12-19 05:54 |
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Publish the Manuscript Online |
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2022-12-28 07:50 |
| ISSN |
2644-3236 (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) 2022. 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 |
Pathology |
| Manuscript Type |
Review |
| Article Title |
Artificial intelligence applications in predicting the behavior of gastrointestinal cancers in pathology
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| Manuscript Source |
Invited Manuscript |
| All Author List |
Aysen Yavuz, Anil Alpsoy, Elif Ocak Gedik, Mennan Yigitcan Celik, Cumhur Ibrahim Bassorgun, Betul Unal and Gulsum Ozlem Elpek |
| ORCID |
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| Funding Agency and Grant Number |
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| Corresponding Author |
Gulsum Ozlem Elpek, MD, Professor, Department of Pathology, Akdeniz University Medical School, Antalya 07070, Türkiye. elpek@akdeniz.edu.tr |
| Key Words |
Digital pathology; Colorectal cancer; Gastric cancer; Machine learning; Deep learning; Prognosis |
| Core Tip |
This review outlines the potential of artificial intelligence applications for evaluating pathological parameters related to the behavior of gastrointestinal cancers. The role of these methods in determining the behavior of esophageal cancers remains to be investigated. On the other hand, the results are promising, supporting that these models can assist in the determination of conventional pathological parameters and perform molecular subtyping in gastric and colorectal cancers. Furthermore, these applications encourage digital prognostic biomarker discovery by revealing predictions that are impossible when using traditional visual methods. However, further studies are needed to overcome the obstacles to implementing these applications into pathology practice. |
| Publish Date |
2022-12-28 07:50 |
| Citation |
Yavuz A, Alpsoy A, Gedik EO, Celik MY, Bassorgun CI, Unal B, Elpek GO. Artificial intelligence applications in predicting the behavior of gastrointestinal cancers in pathology. Artif Intell Gastroenterol 2022; 3(5): 142-162 |
| URL |
https://www.wjgnet.com/2644-3236/full/v3/i5/142.htm |
| DOI |
https://dx.doi.org/10.35712/aig.v3.i5.142 |
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