Publication Name	Artificial Intelligence in Cancer
Manuscript ID	64224
Country	Japan

Received	2021-02-12 06:13
Peer-Review Started	2021-02-12 06:18
To Make the First Decision
Return for Revision	2021-02-19 01:55
Revised	2021-03-01 08:07
Second Decision	2021-03-08 06:58
Accepted by Journal Editor-in-Chief
Accepted by Executive Editor-in-Chief	2021-03-09 04:37
Articles in Press	2021-03-09 04:37
Publication Fee Transferred
Edit the Manuscript by Language Editor
Typeset the Manuscript	2021-03-09 08:22
Publish the Manuscript Online	2021-03-09 09:34

ISSN	2644-3228 (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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Publisher	Baishideng Publishing Group Inc, 7041 Koll Center Parkway, Suite 160, Pleasanton, CA 94566, USA
Website	http://www.wjgnet.com

Category	Oncology
Manuscript Type	Editorial
Article Title	Cancer recognition of artificial intelligence
Manuscript Source	Invited Manuscript
All Author List	Shihori Tanabe
ORCID	Author(s) ORCID Number Shihori Tanabe http://orcid.org/0000-0003-3706-0616
Funding Agency and Grant Number	Funding Agency Grant Number Japan Agency for Medical Research and Development (AMED) JP20ak0101093
Corresponding Author	Shihori Tanabe, PhD, Senior Researcher, Division of Risk Assessment, Center for Biological Safety and Research, National Institute of Health Sciences, 3-25-26, Tonomachi, Kawasaki-ku, Kawasaki 210-9501, Kanagawa, Japan. stanabe@nihs.go.jp
Key Words	Artificial intelligence; Cancer; Network; Recognition; Therapeutic application
Core Tip	Recently, rapidly growing advances in deep learning have enabled cancer recognition by artificial intelligence (AI). Differences between human insights and AI attention may exist, and the interpretation of the modeling would lead to the further progression of AI-oriented therapeutics. The massive ability of AI is useful for cancer recognition.
Publish Date	2021-03-09 09:34
Citation	Tanabe S. Cancer recognition of artificial intelligence. Artif Intell Cancer 2021; 2(1): 1-6
URL	https://www.wjgnet.com/2644-3228/full/v2/i1/1.htm
DOI	https://dx.doi.org/10.35713/aic.v2.i1.1

Full Article (PDF)	AIC-2-1.pdf
Full Article (Word)	AIC-2-1.docx
Manuscript File	64224_Auto_Edited.docx
Answering Reviewers	64224-Answering reviewers.pdf
Audio Core Tip	64224-Audio core tip.MP3
Conflict-of-Interest Disclosure Form	64224-Conflict-of-interest statement.pdf
Copyright License Agreement	64224-Copyright license agreement.pdf
Approved Grant Application Form(s) or Funding Agency Copy of any Approval Document(s)	64224-Grant application form(s).pdf
Non-Native Speakers of English Editing Certificate	64224-Language certificate.pdf
Peer-review Report	64224-Peer-review(s).pdf
Scientific Misconduct Check	64224-Scientific misconduct check.pdf
Scientific Editor Work List	64224-Scientific editor work list.pdf
CrossCheck Report	64224-CrossCheck report.pdf