Artificial intelligence for COVID-19: battling the pandemic with computational intelligence

作     者：Zhenxing Xu Chang Su Yunyu Xiao Fei Wang Zhenxing Xu;Chang Su;Yunyu Xiao;Fei Wang

作者机构：Department of Population Health SciencesWeill Cornell MedicineCornell UniversityNew York 10065United States Department of Health Service Administration and PolicyTemple UniversityPhiladelphia 19122United States 

出 版 物：《Intelligent Medicine》 (智慧医学（英文）)

年 卷 期：2022年第2卷第1期

页      面：13-29页

核心收录：

学科分类：1002[医学-临床医学] 1001[医学-基础医学(可授医学、理学学位)] 08[工学] 081104[工学-模式识别与智能系统] 0811[工学-控制科学与工程] 10[医学] 0812[工学-计算机科学与技术（可授工学、理学学位）] 

基　　金：supported by National Science Foundation(Grant Nos.1750326 and 2027970) National Institutes of Health(Grant Nos.RF1AG072449 and R01MH124740) as well as Amazon AWS Machine Learning for Research Award and Google Faculty Research Award The work is also supported by Gates Foundation(Grant No.CORONAVIRUSHUB-D-21-00125). 

主　　题：COVID-19 pandemic Artificial intelligence Electronic health record Machine learning 

摘      要：The new coronavirus disease 2019(COVID-19)has become a global pandemic leading to over 180 million confirmed cases and nearly 4 million deaths until June 2021,according to the World Health Organization.Since the initial report in December 2019,COVID-19 has demonstrated a high transmission rate(with an R_(0)2),a diverse set of clinical characteristics(e.g.,high rate of hospital and intensive care unit admission rates,multi-organ dysfunction for critically ill patients due to hyperinflammation,thrombosis,etc.),and a tremendous burden on health care systems around the world.To understand the serious and complex diseases and develop effective control,treatment,and prevention strategies,researchers from different disciplines have been making significant efforts from different aspects including epidemiology and public health,biology and genomic medicine,as well as clinical care and patient management.In recent years,artificial intelligence(AI)has been introduced into the healthcare field to aid clinical decision-making for disease diagnosis and treatment such as detecting cancer based on medical images,and has achieved superior performance in multiple data-rich application scenarios.In the COVID-19 pandemic,AI techniques have also been used as a powerful tool to overcome the complex diseases.In this context,the goal of this study is to review existing studies on applications of AI techniques in combating the COVID-19 pandemic.Specifically,these efforts can be grouped into the fields of epidemiology,therapeutics,clinical research,social and behavioral studies and are summarized.Potential challenges,directions,and open questions are discussed accordingly,which may provide new insights into addressing the COVID-19 pandemic and would be helpful for researchers to explore more related topics in the post-pandemic era.