Publication Name	Artificial Intelligence in Cancer
Manuscript ID	65521
Country	China

Received	2021-03-09 06:53
Peer-Review Started	2021-03-09 06:56
To Make the First Decision
Return for Revision	2021-03-26 03:25
Revised	2021-04-02 03:58
Second Decision	2021-04-19 07:43
Accepted by Journal Editor-in-Chief
Accepted by Company Editor-in-Chief	2021-04-20 05:04
Articles in Press	2021-04-20 05:04
Publication Fee Transferred
Edit the Manuscript by Language Editor	2021-04-24 13:46
Typeset the Manuscript	2021-04-26 03:50
Publish the Manuscript Online	2021-04-26 11:27

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	Methodology
Manuscript Type	Minireviews
Article Title	Advances in the application of artificial intelligence in solid tumor imaging
Manuscript Source	Invited Manuscript
All Author List	Ying Shao, Yu-Xuan Zhang, Huan-Huan Chen, Shan-Shan Lu, Shi-Chang Zhang and Jie-Xin Zhang
Funding Agency and Grant Number	Funding Agency Grant Number the “The Six Top Talent Project” of Jiangsu Province WSW-004 National Natural Science Foundation of China 81671836
Corresponding Author	Jie-Xin Zhang, MD, PhD, Associate Professor, Senior Researcher, Department of Laboratory Medicine, The First Affiliated Hospital of Nanjing Medical University, No. 300 Guangzhou Road, Nanjing 210029, Jiangsu Province, China. jiexinzhang@njmu.edu.cn
Key Words	Artificial intelligence; Oncology; Imaging; Model performance
Core Tip	Many reviews have summarized artificial intelligence (AI) applications in the diagnosis and treatment of single tumor type. However, this is a first review to systematically review how AI relieves clinical workloads and changes the current medical workflows while maintaining high quality to provide precision medicine in multiple solid tumors. Due to its clear advantage in imaging practice, patients will benefit from early diagnosis and appropriate treatment.
Publish Date	2021-04-26 11:27
Citation	Shao Y, Zhang YX, Chen HH, Lu SS, Zhang SC, Zhang JX. Advances in the application of artificial intelligence in solid tumor imaging. Artif Intell Cancer 2021; 2(2): 12-24
URL	https://www.wjgnet.com/2644-3228/full/v2/i2/12.htm
DOI	https://dx.doi.org/10.35713/aic.v2.i2.12

Full Article (PDF)	AIC-2-12.pdf
Full Article (Word)	AIC-2-12.docx
Manuscript File	65521-Review-FilipodiaCL.doc
Answering Reviewers	65521-Answering reviewers.pdf
Audio Core Tip	65521-Audio core tip.m4a
Conflict-of-Interest Disclosure Form	65521-Conflict-of-interest statement.pdf
Copyright License Agreement	65521-Copyright license agreement.pdf
Approved Grant Application Form(s) or Funding Agency Copy of any Approval Document(s)	65521-Grant application form(s).pdf
Non-Native Speakers of English Editing Certificate	65521-Language certificate.pdf
Peer-review Report	65521-Peer-review(s).pdf
Scientific Misconduct Check	65521-Scientific misconduct check.pdf
Scientific Editor Work List	65521-Scientific editor work list.pdf