摘要
新型冠状病毒肺炎(COVID-19)在全球范围内迅速传播,对人类的健康、生活、社会功能和国际关系构成严重威胁。人工智能(AI)已被广泛用于解决从大数据分析到计算机视觉的各种复杂问题。COVID-19疫情防治过程中,研究人员提出大量AI算法与模型以减轻医疗系统的负担,在药物研发、疫情预测、临床诊断等领域发挥了重要作用。本综述从辅助诊断/检测、网络信息监测与分析,生物医学与药物治疗,疾病追踪、识别与检测以及实际临床应用这5个方面讨论了AI在COVID-19中的最新研究进展,旨在为疫情后期管理及未来流行病的及时防治提供参考。
Coronavirus disease 2019(COVID-19)is spreading rapidly worldwide and poses a serious threat to human health,livelihood,social functions and international relations.Artificial intelligence(AI)has been widely used to solve complex problems ranging from big data analysis to computer vision.During COVID-19 pandemic prevention and control,a large number of AI algorithms and models have been proposed to reduce the burden on the healthcare system,playing an important role in drug development,pandemic prediction,clinical diagnosis and other fields.Herein the recent researches on AI in COVID-19 are discussed in 5 perspectives,including aided diagnosis/detection,network information monitoring and analysis,biomedicine and drug therapy,disease tracking,identification and detection,and practical clinical applications,aiming to provide a reference for late-stage pandemic management and timely control of future outbreaks.
作者
蔡晓琼
郭晶磊
黄继汉
苏前敏
CAI Xiaoqiong;GUO Jinglei;HUANG Jihan;SU Qianmin(School of Electronic and Electrical Engineering,Shanghai University of Engineering Science,Shanghai 201620,China;School of Basic Medical Sciences,Shanghai University of Traditional Chinese Medicine,Shanghai 201203,China;Center for Drug Clinical Research,Shanghai University of Traditional Chinese Medicine,Shanghai 201203,China)
出处
《中国医学物理学杂志》
CSCD
2021年第7期915-920,共6页
Chinese Journal of Medical Physics
基金
“十三五”国家科技重大专项(2018ZX09711001-009-011)
上海市2017年度科技创新行动计划(17401970900)。
关键词
新型冠状病毒肺炎
人工智能
深度学习
疾病防控
综述
corona virus disease 2019
artificial intelligence
deep learning
disease control and prevention
review