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Articles Published Processes
5/27/2021 9:41:33 AM | Browse: 585 | Download: 1202
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Received |
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2021-02-04 11:13 |
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Peer-Review Started |
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2021-02-04 11:16 |
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To Make the First Decision |
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Return for Revision |
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2021-03-06 04:51 |
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Revised |
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2021-03-16 11:22 |
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Second Decision |
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2021-04-28 07:51 |
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Accepted by Journal Editor-in-Chief |
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Accepted by Executive Editor-in-Chief |
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2021-04-28 08:17 |
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Articles in Press |
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2021-04-28 08:17 |
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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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2021-05-19 00:24 |
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Publish the Manuscript Online |
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2021-05-27 09:41 |
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) 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 |
Pathology |
Manuscript Type |
Minireviews |
Article Title |
Requirements for implementation of artificial intelligence in the practice of gastrointestinal pathology
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Manuscript Source |
Invited Manuscript |
All Author List |
Hiroshi Yoshida and Tomoharu Kiyuna |
ORCID |
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Funding Agency and Grant Number |
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Corresponding Author |
Hiroshi Yoshida, MD, PhD, Staff Physician, Department of Diagnostic Pathology, National Cancer Center Hospital, 5-1-1 Tsukiji, Chuo-ku, Tokyo 104-0045, Japan. hiroyosh@ncc.go.jp |
Key Words |
Artificial intelligence; Deep learning; Digital image analysis; Digital pathology; Clinical implementation; Gastrointestinal cancer |
Core Tip |
The advances in artificial intelligence (AI) will revolutionize medical practice, as well as other areas of medicine. Deep learning algorithms have shown promising benefits in various areas of diagnostic histopathology. Despite this, AI technology is not widely used as a medical device and is not approved by a regulatory authority. Thus, implying that certain improvements in the development process are still necessary for the implementation of AI in the real-life histopathology-practice. This paper aims to provide a review of recent AI developments in gastrointestinal pathology and the challenges in their implementation. |
Publish Date |
2021-05-27 09:41 |
Citation |
Yoshida H, Kiyuna T. Requirements for implementation of artificial intelligence in the practice of gastrointestinal pathology. World J Gastroenterol 2021; 27(21): 2818-2833 |
URL |
https://www.wjgnet.com/1007-9327/full/v27/i21/2818.htm |
DOI |
https://dx.doi.org/10.3748/wjg.v27.i21.2818 |
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