The application of artificial intelligence and radiomics in lung cancer

被引：31

作者：

Zhou, Yaojie ^{[1
]}

Xu, Xiuyuan ^{[2
]}

Song, Lujia ^{[3
]}

Wang, Chengdi ^{[1
]}

Guo, Jixiang ^{[2
]}

Yi, Zhang ^{[2
]}

Li, Weimin ^{[1
]}

机构：

[1] Sichuan Univ, West China Hosp, West China Sch Med, Dept Resp & Crit Care Med, Chengdu 610041, Peoples R China

[2] Sichuan Univ, Coll Comp Sci, Machine Intelligence Lab, Chengdu 610065, Peoples R China

[3] Sichuan Univ, West China Sch Publ Hlth, Chengdu 610041, Peoples R China

来源：

PRECISION CLINICAL MEDICINE | 2020年 / 3卷 / 03期

基金：

中国国家自然科学基金;

关键词：

artificial intelligence; radiomics; lung cancer; machine learning; deep learning; HEALTH-ORGANIZATION CLASSIFICATION; PREDICTION; IMPLEMENTATION; FEATURES; TUMORS; VARIABILITY; PERFORMANCE; VALIDATION; ALGORITHMS; MUTATIONS;

D O I：

10.1093/pcmedi/pbaa028

中图分类号：

R-3 [医学研究方法]; R3 [基础医学];

学科分类号：

1001 ;

摘要：

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.

引用

页码：214 / 227

页数：14

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