Minireviews
Copyright ©The Author(s) 2021. Published by Baishideng Publishing Group Inc. All rights reserved.
Artif Intell Cancer. Apr 28, 2021; 2(2): 12-24
Published online Apr 28, 2021. doi: 10.35713/aic.v2.i2.12
Advances in the application of artificial intelligence in solid tumor imaging
Ying Shao, Yu-Xuan Zhang, Huan-Huan Chen, Shan-Shan Lu, Shi-Chang Zhang, Jie-Xin Zhang
Ying Shao, Department of Laboratory Medicine, People Hospital of Jiangying, Jiangying 214400, Jiangsu Province, China
Yu-Xuan Zhang, Huan-Huan Chen, Shi-Chang Zhang, Jie-Xin Zhang, Department of Laboratory Medicine, The First Affiliated Hospital of Nanjing Medical University, Nanjing 210029, Jiangsu Province, China
Shan-Shan Lu, Department of Radiology, The First Affiliated Hospital of Nanjing Medical University, Nanjing 210029, Jiangsu Province, China
Author contributions: Shao Y and Zhang YX performed the majority of the writing and they contributed equally to this minireview; Chen HH and Lu SS provided input in writing the paper; Zhang SC and Zhang JX designed the outline and coordinated the writing of the paper.
Supported by The “The Six Top Talent Project” of Jiangsu Province, No. WSW-004; and National Natural Science Foundation of China, No. 81671836.
Conflict-of-interest statement: The authors declare that they have no conflict of interest.
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: 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
Received: March 9, 2021
Peer-review started: March 9, 2021
First decision: March 26, 2021
Revised: April 2, 2021
Accepted: April 20, 2021
Article in press: April 20, 2021
Published online: April 28, 2021
Core Tip

Core Tip: Many reviews have summarized artificial intelligence applications in the diagnosis and treatment of a single tumor type. However, this is the first review to systematically review how artificial intelligence 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.