Publication Name	Artificial Intelligence in Cancer
Manuscript ID	67741
Country	China

Received	2021-05-01 05:43
Peer-Review Started	2021-05-01 05:45
To Make the First Decision
Return for Revision	2021-06-18 05:44
Revised	2021-06-21 10:09
Second Decision	2021-07-22 03:06
Accepted by Journal Editor-in-Chief
Accepted by Executive Editor-in-Chief	2021-07-22 08:47
Articles in Press	2021-07-22 08:47
Publication Fee Transferred
Edit the Manuscript by Language Editor	2021-07-26 07:56
Typeset the Manuscript	2021-08-25 14:51
Publish the Manuscript Online	2021-08-30 08:04

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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Category	Engineering, Biomedical
Manuscript Type	Letter to the Editor
Article Title	What and how does the artificial intelligence apply in solid tumor imaging?
Manuscript Source	Invited Manuscript
All Author List	Jian-She Yang and Qiang Wang
ORCID	Author(s) ORCID Number Jian-She Yang http://orcid.org/0000-0001-7069-6072 Qiang Wang http://orcid.org/0000-0002-9855-6730
Funding Agency and Grant Number
Corresponding Author	Jian-She Yang, MSc, PhD, Academic Research, Professor, SHanghai Tenth People's Hospital, Tongji University, No. 301, Yanchang Rd (M), Shanghai 200072, China. yangjs@impcas.ac.cn
Key Words	Artificial intelligence; Tumor; Imaging; Diagnosis
Core Tip	Artificial intelligence has been widely applied in tumor diagnosis due to its precise recognition and big-data calculating priorities, which relieved the clinicians from the diagnostic workloads. While, this model, to some extent, is rigid, and cannot completely replace the experienced human eventually. How to promote and optimize it with real intelligence has a long way to go.
Publish Date	2021-08-30 08:04
Citation	Yang JS, Wang Q. What and how does the artificial intelligence apply in solid tumor imaging? Artif Intell Cancer 2021;2(4): 49-50
URL	https://www.wjgnet.com/2644-3228/full/v2/i4/49.htm
DOI	https://dx.doi.org/10.35713/aic.v2.i4.49

Full Article (PDF)	AIC-2-49.pdf
Full Article (Word)	AIC-2-49.docx
Manuscript File	67741_Auto_Edited-JPY_WangTQ.docx
Answering Reviewers	67741-Answering reviewers.pdf
Audio Core Tip	67741-Audio core tip.m4a
Conflict-of-Interest Disclosure Form	67741-Conflict-of-interest statement.pdf
Copyright License Agreement	67741-Copyright license agreement.pdf
Non-Native Speakers of English Editing Certificate	67741-Language certificate.pdf
Peer-review Report	67741-Peer-review(s).pdf
Scientific Misconduct Check	67741-Bing-Liu M-1.png
Scientific Misconduct Check	67741-Bing-Liu M-2.png
Scientific Misconduct Check	67741-Scientific misconduct check.pdf
Scientific Editor Work List	67741-Scientific editor work list.pdf
CrossCheck Report	67741-CrossCheck report.pdf