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7/8/2020 12:16:53 AM | Browse: 403 | Download: 729
Publication Name Artificial Intelligence in Cancer
Manuscript ID 56778
Country/Territory 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 Company 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.
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 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
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