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4/28/2021 8:17:24 AM | Browse: 30 | Download: 33
Publication Name World Journal of Gastroenterology
Manuscript ID 63775
Country/Territory Japan
Category Pathology
Manuscript Type Minireviews
Article Title Requirements for implementation of artificial intelligence in the practice of gastrointestinal pathology
Manuscript Source Invited Manuscript
All Author List Hiroshi Yoshida and Tomoharu Kiyuna
Funding Agency and Grant Number
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.
Citation Yoshida H, Kiyuna T. Requirements for implementation of artificial intelligence in the practice of gastrointestinal pathology. World J Gastroenterol 2021; In press
Received
2021-02-04 11:13
Peer-Review Started
2021-02-04 11:16
To Make the First Decision
Return for Revision
2021-03-06 04:51
Revised
2021-03-16 11:22
Second Decision
2021-04-28 07:51
Accepted by Journal Editor-in-Chief
Accepted by Company Editor-in-Chief
2021-04-28 08:17
Articles in Press
2021-04-28 08:17
Publication Fee Transferred
Edit the Manuscript by Language Editor
Typeset the Manuscript
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.
Permissions For details, please visit: http://www.wjgnet.com/bpg/gerinfo/207
Publisher Baishideng Publishing Group Inc, 7041 Koll Center Parkway, Suite 160, Pleasanton, CA 94566, USA
Website http://www.wjgnet.com
Assistant Editor Assistant Editor
Science Editor Chen-Chen Gao
Reviewer Code 02905103
Editorial Director
Journal Chief Editor
Company Chief Editor Ze-Mao Gong
Language Editor
Production Editor
Responsible Production Editor
Responsible Science Editor
Proofing Editorial Director Jin-Lei Wang
Proofing Editor-in-Chief Lian-Sheng Ma
Manuscript File 63775_Auto_Edited-ZMG.docx
Answering Reviewers 63775-Answering reviewers.pdf
Audio Core Tip 63775-Audio core tip.mp4
Conflict-of-Interest Disclosure Form 63775-Conflict-of-interest statement.pdf
Copyright License Agreement 63775-Copyright license agreement.pdf
Non-Native Speakers of English Editing Certificate 63775-Language certificate.pdf
Peer-review Report 63775-Peer-review(s).pdf
Scientific Misconduct Check 63775-Bing-Wang JL-1.jpg
Scientific Misconduct Check 63775-Scientific misconduct check.pdf
Scientific Editor Work List 63775-Scientific editor work list.pdf