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6/4/2021 10:00:59 AM | Browse: 204 | Download: 394
Publication Name Artificial Intelligence in Gastroenterology
Manuscript ID 63298
Country Japan
Category Oncology
Manuscript Type Minireviews
Article Title Artificial intelligence in gastrointestinal diseases
Manuscript Source Invited Manuscript
All Author List Shihori Tanabe, Edward J Perkins, Ryuichi Ono and Hiroki Sasaki
Funding Agency and Grant Number
Funding Agency Grant Number
Japan Agency for Medical Research and Development (AMED) JP20ak0101093
Corresponding Author Shihori Tanabe, PhD, Senior Research Fellow, Division of Risk Assessment, Center for Biological Safety and Research, National Institute of Health Sciences, 3-25-26, Tonomachi, Kawasaki-ku, Kawasaki 210-9501, Japan. stanabe@nihs.go.jp
Key Words Artificial intelligence; Gastrointestinal disease; RNA; Therapeutic application; Inflammatory diseases
Core Tip The application of artificial intelligence (AI) in the diagnosis and treatment of disease is a promising approach in medicine. The application of AI approaches in gastrointestinal diseases is summarized and reviewed. AI holds great promise in medicine, but to safely and efficiently apply AI in medicine, the advantages and limitations should first be carefully considered.
Citation Tanabe S, Perkins EJ, Ono R, Sasaki H. Artificial intelligence in gastrointestinal diseases. Artif Intell Gastroenterol 2021; 2(3): 69-76
Received
2021-01-27 16:31
Peer-Review Started
2021-01-27 16:36
To Make the First Decision
Return for Revision
2021-03-29 09:22
Revised
2021-04-09 08:31
Second Decision
2021-06-04 06:38
Accepted by Journal Editor-in-Chief
Accepted by Company Editor-in-Chief
2021-06-04 10:00
Articles in Press
2021-06-04 10:00
Publication Fee Transferred
Edit the Manuscript by Language Editor
2021-06-10 21:01
Typeset the Manuscript
2021-06-21 01:12
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) 2021. Published by Baishideng Publishing Group Inc. All rights reserved.
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