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7/27/2020 10:25:04 AM | Browse: 35 | Download: 21
Publication Name Artificial Intelligence in Gastroenterology
Manuscript ID 57192
Country/Territory Japan
Received
2020-05-28 09:22
Peer-Review Started
2020-05-28 09:23
To Make the First Decision
Return for Revision
2020-06-13 02:05
Revised
2020-06-23 10:44
Second Decision
2020-07-15 13:25
Accepted by Journal Editor-in-Chief
Accepted by Company Editor-in-Chief
2020-07-16 02:05
Articles in Press
2020-07-16 02:05
Publication Fee Transferred
Edit the Manuscript by Language Editor
2020-07-19 22:25
Typeset the Manuscript
2020-07-27 01:15
Publish the Manuscript Online
2020-07-27 09:30
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) 2020. Published by Baishideng Publishing Group Inc. All rights reserved.
Article Reprints For details, please visit: http://www.wjgnet.com/bpg/gerinfo/247
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
Category Gastroenterology and Hepatology
Manuscript Type Minireviews
Article Title Application of artificial intelligence in hepatology: Minireview
Manuscript Source Invited Manuscript
All Author List Ryota Masuzaki, Tatsuo Kanda, Reina Sasaki, Naoki Matsumoto, Kazushige Nirei, Masahiro Ogawa and Mitsuhiko Moriyama
Funding Agency and Grant Number
Corresponding author Tatsuo Kanda, MD, PhD, Associate Professor, Division of Gastroenterology and Hepatology, Department of Medicine, Nihon University School of Medicine, 30-1 Oyaguchi-Kamicho, Itabashi-ku 173-8610, Tokyo, Japan. kanda2t@yahoo.co.jp
Keywords Artificial intelligence; Deep learning; Machine learning; Hepatocellular carcinoma; Prognosis; Computer-aided diagnosis
Core Tip Artificial intelligence (AI) plays a significant role in our daily life and the research field. In this review, we summarized the recent findings of AI concerning hepatology. AI will be useful in the detection and diagnosis of liver tumors and the discrimination of high-risk patients for hepatic decompensation and hepatocellular carcinoma development. Furthermore, AI can be utilized in basic research, such as in the interpretation of genomics, transcriptomics, and proteomics. We hope that this review will help in future management.
Publish Date 2020-07-27 09:30
Citation Masuzaki R, Kanda T, Sasaki R, Matsumoto N, Nirei K, Ogawa M, Moriyama M. Application of artificial intelligence in hepatology: Minireview. Artif Intell Gastroenterol 2020; 1(1): 5-11
Url https://www.wjgnet.com/2644-3236/full/v1/i1/5.htm
DOI https://dx.doi.org/10.35712/aig.v1.i1.5
Full Article (PDF) AIG-1-5.pdf
Full Article (Word) AIG-1-5.docx
Manuscript File 57192-Review-Filipodia.docx
Answering Reviewers 57192-Answering reviewers.pdf
Audio Core Tip 57192-Audio core tip.m4a
Conflict-of-Interest Disclosure Form 57192-Conflict-of-interest statement.pdf
Copyright License Agreement 57192-Copyright license agreement.pdf
Non-Native Speakers of English Editing Certificate 57192-Language certificate.pdf
Peer-review Report 57192-Peer-review(s).pdf
Scientific Misconduct Check 57192-Scientific misconduct check.pdf
Scientific Editor Work List 57192-Scientific editor work list.pdf