The application of artificial intelligence and radiomics in lung cancer

Yaojie Zhou; Xiuyuan Xu; Lujia Song; Chengdi Wang; Jixiang Guo; Zhang Yi; Weimin Li

doi:10.1093/pcmedi/pbaa028

The application of artificial intelligence and radiomics in lung cancer

Precis Clin Med. 2020 Aug 24;3(3):214-227. doi: 10.1093/pcmedi/pbaa028. eCollection 2020 Sep.

Authors

Yaojie Zhou¹, Xiuyuan Xu², Lujia Song³, Chengdi Wang¹, Jixiang Guo², Zhang Yi², Weimin Li¹

Affiliations

¹ Department of Respiratory and Critical Care Medicine, West China School of Medicine, West China Hospital, Sichuan University, Chengdu 610041, China.
² Machine Intelligence Laboratory, College of Computer Science, Sichuan University, Chengdu 610065, China.
³ West China School of Public Health, Sichuan University, Chengdu 610041, China.

Abstract

Lung cancer is one of the most leading causes of death throughout the world, and there is an urgent requirement for the precision medical management of it. Artificial intelligence (AI) consisting of numerous advanced techniques has been widely applied in the field of medical care. Meanwhile, radiomics based on traditional machine learning also does a great job in mining information through medical images. With the integration of AI and radiomics, great progress has been made in the early diagnosis, specific characterization, and prognosis of lung cancer, which has aroused attention all over the world. In this study, we give a brief review of the current application of AI and radiomics for precision medical management in lung cancer.

Keywords: artificial intelligence; deep learning; lung cancer; machine learning; radiomics.

Publication types

Review