Publication Name	Artificial Intelligence in Gastroenterology
Manuscript ID	57192
Country	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 Executive 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.
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Category	Gastroenterology & 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
Key Words	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
CrossCheck Report	57192-CrossCheck report.pdf