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11/19/2021 11:47:26 AM | Browse: 56 | Download: 41
Publication Name World Journal of Gastroenterology
Manuscript ID 66595
Country/Territory Japan
Received
2021-04-03 07:38
Peer-Review Started
2021-04-03 07:41
To Make the First Decision
Return for Revision
2021-07-03 02:26
Revised
2021-08-02 03:14
Second Decision
2021-11-15 03:34
Accepted by Journal Editor-in-Chief
Accepted by Company Editor-in-Chief
2021-11-15 07:01
Articles in Press
2021-11-15 07:01
Publication Fee Transferred
Edit the Manuscript by Language Editor
Typeset the Manuscript
2021-11-16 15:16
Publish the Manuscript Online
2021-11-19 11:15
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: https://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
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 Recent advances in artificial intelligence for pancreatic ductal adenocarcinoma
Manuscript Source Invited Manuscript
All Author List Hiromitsu Hayashi, Norio Uemura, Kazuki Matsumura, Liu Zhao, Hiroki Sato, Yuta Shiraishi, Yo-ichi Yamashita and Hideo Baba
Funding Agency and Grant Number
Corresponding Author Hiromitsu Hayashi, FACS, MD, PhD, Associate Professor, Department of Gastroenterological Surgery, Graduate School of Life Sciences, Kumamoto University, 1-1-1 Honjo, Chuo-ku, Kumamoto 860-8556, Japan. hhayasi@kumamoto-u.ac.jp
Key Words Pancreatic cancer; Pancreatic ductal adenocarcinoma; Artificial intelligence; Machine learning; Precision medicine
Core Tip Pancreatic ductal adenocarcinoma (PDAC) remains the most lethal type of cancer. Artificial intelligence (AI) is the ability of a machine to learn and display intelligence to solve problems. AI can help to transform big data into clinically actionable insights more efficiently, reduce inevitable errors to improve diagnostic accuracy, and make real-time predictions. AI-based omics analyses should be the next alternative approach to improve survival outcomes in PDAC by discovering biomarkers for early detection, molecular/genomic subtyping, treatment guidance, and predicting recurrence and survival. The present review mainly focuses on recent advances of AI in PDAC for clinicians.
Publish Date 2021-11-19 11:15
Citation Hayashi H, Uemura N, Matsumura K, Zhao L, Sato H, Shiraishi Y, Yamashita YI, Baba H. Recent advances in artificial intelligence for pancreatic ductal adenocarcinoma. World J Gastroenterol 2021; 27(43): 7480-7496
URL https://www.wjgnet.com/1007-9327/full/v27/i43/7480.htm
DOI https://dx.doi.org/10.3748/wjg.v27.i43.7480
Full Article (PDF) WJG-27-7480.pdf
Full Article (Word) WJG-27-7480.docx
Manuscript File 66595_Auto_Edited.docx
Answering Reviewers 66595-Answering reviewers.pdf
Audio Core Tip 66595-Audio core tip.mp3
Conflict-of-Interest Disclosure Form 66595-Conflict-of-interest statement.pdf
Copyright License Agreement 66595-Copyright license agreement.pdf
Non-Native Speakers of English Editing Certificate 66595-Language certificate.pdf
Supplementary Material 66595-Supplementary material.pdf
Peer-review Report 66595-Peer-review(s).pdf
Scientific Editor Work List 66595-Scientific editor work list.pdf