Publication Name	Artificial Intelligence in Cancer
Manuscript ID	56778
Country	China

Received	2020-05-14 02:44
Peer-Review Started	2020-05-14 02:44
To Make the First Decision
Return for Revision	2020-06-08 03:07
Revised	2020-06-17 15:34
Second Decision	2020-06-18 08:41
Accepted by Journal Editor-in-Chief
Accepted by Executive Editor-in-Chief	2020-06-18 20:32
Articles in Press	2020-06-18 20:32
Publication Fee Transferred
Edit the Manuscript by Language Editor	2020-06-22 20:34
Typeset the Manuscript	2020-07-02 08:26
Publish the Manuscript Online	2020-07-07 10:45

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) 2020. 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	Engineering, Biomedical
Manuscript Type	Minireviews
Article Title	Application of artificial intelligence in clinical non-small cell lung cancer
Manuscript Source	Invited Manuscript
All Author List	Yong Liu
ORCID	Author(s) ORCID Number Yong Liu http://orcid.org/0000-0002-4048-5837
Funding Agency and Grant Number
Corresponding Author	Yong Liu, MD, PhD, Surgical Oncologist, Department of Thoracic Surgery, The Central Hospital of Wuhan, Tongji Medical College, Huazhong University of Science and Technology, No. 26 Shengli Street, Wuhan 430011, Hubei Province, China. liuyong7575@163.com
Key Words	Artificial intelligence; Machine learning; Non-small cell lung cancer; Diagnosis; Prognosis; Therapy
Core Tip	Lung cancer is the most common cause of cancer death in the world. Most of patients are involved with non-small cell lung cancer (NSCLC). Artificial intelligence (AI) has been shown to be able to help clinicians make more accurate judgments and decisions in many ways for NSCLC, especially in screening and preliminary evaluation of lung nodules, histological differentiation and diagnosis, genomic identification, decision-making of therapy, prognosis of overall survival, metastasis or recurrence. As an addition, electronic medical records could be used as a source for AI to help clinicians. This manuscript reviews the state of art of AI applications in clinical NSCLC for those who will be interested in this field.
Publish Date	2020-07-07 10:45
Citation	Liu Y. Application of artificial intelligence in clinical non-small cell lung cancer. Artif Intell Cancer 2020; 1(1): 19-30
URL	https://www.wjgnet.com/2644-3228/full/v1/i1/19.htm
DOI	https://dx.doi.org/10.35713/aic.v1.i1.19

Full Article (PDF)	AIC-1-19.pdf
Full Article (Word)	AIC-1-19.docx
Manuscript File	56778-Review-Filipodia.docx
Answering Reviewers	56778-Answering reviewers.pdf
Audio Core Tip	56778-Audio core tip.m4a
Conflict-of-Interest Disclosure Form	56778-Conflict-of-interest statement.pdf
Copyright License Agreement	56778-Copyright license agreement.pdf
Non-Native Speakers of English Editing Certificate	56778-Language certificate.pdf
Peer-review Report	56778-Peer-review(s).pdf
Scientific Misconduct Check	56778-Scientific misconduct check.pdf
Scientific Editor Work List	56778-Scientific editor work list.pdf
CrossCheck Report	56778-CrossCheck report.pdf