Copyright
©The Author(s) 2020. Published by Baishideng Publishing Group Inc. All rights reserved.
Artif Intell Cancer. Jun 28, 2020; 1(1): 19-30
Published online Jun 28, 2020. doi: 10.35713/aic.v1.i1.19
Published online Jun 28, 2020. doi: 10.35713/aic.v1.i1.19
Application of artificial intelligence in clinical non-small cell lung cancer
Yong Liu, Department of Thoracic Surgery, The Central Hospital of Wuhan, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430011, Hubei Province, China
Author contributions: Liu Y performed the writing of the paper.
Conflict-of-interest statement: The author declares no conflicts-of-interest related to this article.
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/
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
Received: May 14, 2020
Peer-review started: May 14, 2020
First decision: June 8, 2020
Revised: June 17, 2020
Accepted: June 19, 2020
Article in press: June 19, 2020
Published online: June 28, 2020
Peer-review started: May 14, 2020
First decision: June 8, 2020
Revised: June 17, 2020
Accepted: June 19, 2020
Article in press: June 19, 2020
Published online: June 28, 2020
Core Tip
Core tip: Artificial intelligence has been shown to help clinicians make more accurate judgments and decisions in non-small cell lung cancer screening and preliminary evaluation of lung nodules, histological differentiation and diagnosis, genomic identification, decision-making of therapy, prognosis of overall survival, metastasis or recurrence. Electronic medical records could be used as a source of artificial intelligence to help clinicians. This manuscript reviews the state of art artificial intelligence applications in clinical non-small cell lung cancer for those who will be interested in this field.