[1]刘思远,张丽军,刘雷.人工智能在抗击新型冠状病毒肺炎疫情中的应用[J].中国医学物理学杂志,2020,37(8):1076-1080.[doi:DOI:10.3969/j.issn.1005-202X.2020.08.026]
 LIU Siyuan,ZHANG Lijun,LIU Lei.Application of artificial intelligence in fighting against COVID-19 pandemic[J].Chinese Journal of Medical Physics,2020,37(8):1076-1080.[doi:DOI:10.3969/j.issn.1005-202X.2020.08.026]
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人工智能在抗击新型冠状病毒肺炎疫情中的应用(/HTML)
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《中国医学物理学杂志》[ISSN:1005-202X/CN:44-1351/R]

卷:
37
期数:
2020年第8期
页码:
1076-1080
栏目:
医学人工智能
出版日期:
2020-08-27

文章信息/Info

Title:
Application of artificial intelligence in fighting against COVID-19 pandemic
文章编号:
1005-202X(2020)08-1076-05
作者:
刘思远1张丽军2刘雷3
1.上海师范大学信息与机电工程学院, 上海 200234; 2.上海市公共卫生临床中心新药临床研究中心, 上海 201508; 3.复旦大学生物医学研究院, 上海 200433
Author(s):
LIU Siyuan1 ZHANG Lijun2 LIU Lei3
1. College of Information, Mechanical and Electrical Engineering, Shanghai Normal University, Shanghai 200234, China 2. Clinical Research Center of New Drugs, Shanghai Public Health Clinical Center, Shanghai 201508, China 3. Institutes of Biomedical Sciences, Fudan University, Shanghai 200433, China
关键词:
新型冠状病毒肺炎人工智能放射影像诊断疾病预防综述
Keywords:
Keywords: corona virus disease 2019 artificial intelligence radiological diagnosis disease prevention review
分类号:
R318;R511
DOI:
DOI:10.3969/j.issn.1005-202X.2020.08.026
文献标志码:
A
摘要:
新型冠状病毒肺炎;人工智能;放射影像诊断;疾病预防;综述
Abstract:
Abstract: A worldwide pandemic of corona virus disease 2019 (COVID-19) has caused great effects on global politics, economy, and other aspects. However, so far the virus signatures, mechanism of virus infection, epidemiology, clinical diagnosis and treatment of SARS-Cov-2 remain unclear. Furthermore, there is no vaccine or specific drug. Therefore, applying new techniques to realize the early diagnosis, isolation and treatment of COVID-19 patients is of great significance. Artificial intelligence, as a hot technology of research nowadays, has been widely used in various fields of clinical medicine. Herein the applications of artificial intelligence in fighting against COVID-19 pandemic, including radiological diagnosis, disease prediction, disease tracking and drug development, are summarized. This study can provide new clues for the prevention and treatment of COVID-19, and help medical staffs to better understand and utilize artificial intelligence technology.

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备注/Memo

备注/Memo:
【收稿日期】2020-07-02 【基金项目】十三五重大新药创制—抗艾滋病病毒新药临床评价技术平台建设项目(2017ZX09304027);浙江大学新型冠状病毒肺炎(COVID-19)应急科研专项资金 【作者简介】刘思远,硕士研究生,研究方向:计算机技术,E-mail: 739735690@qq.com 【通信作者】刘雷,教授,研究方向:人工智能,E-mail: liulei@fudan.edu.cn
更新日期/Last Update: 2020-08-27