Using artificial intelligence technology to fight COVID-19: a review
参考中译:用人工智能技术对抗新冠肺炎：综述


          

刊名：Artificial Intelligence Review: An International Science and Engineering Journal
作者：Peng, Yong（Southwest Petr Univ）
Liu, Enbin（Southwest Petr Univ）
Peng, Shanbi（Southwest Petr Univ）
Chen, Qikun（Cardiff Univ）
Li, Dangjian（Southwest Petr Univ）
Lian, Dianpeng（Southwest Petr Univ）
刊号：738LB014/IP
ISSN：0269-2821
出版年：2022
年卷期：2022, vol.55, no.6
页码：4941-4977
总页数：37
分类号：TP18
关键词：Artificial intelligence；COVID-19；Epidemic prevention and control；Internet of Things；Cloud computing；Blockchain；HEALTH-CARE；AI；PREDICTION；CLASSIFICATION；CHALLENGES；BLOCKCHAIN；PNEUMONIA；FRAMEWORK；SYSTEM；CHINA
参考中译：人工智能；新冠肺炎；疫情防控；物联网；云计算；区块链；医疗保健；AI；预测；分类；挑战；区块链；肺炎；框架；系统；中国
语种：eng
文摘：In late December 2019, a new type of coronavirus was discovered, which was later named severe acute respiratory syndrome coronavirus 2(SARS-CoV-2). Since its discovery, the virus has spread globally, with 2,975,875 deaths as of 15 April 2021, and has had a huge impact on our health systems and economy. How to suppress the continued spread of new coronary pneumonia is the main task of many scientists and researchers. The introduction of artificial intelligence technology has provided a huge contribution to the suppression of the new coronavirus. This article discusses the main application of artificial intelligence technology in the suppression of coronavirus from three major aspects of identification, prediction, and development through a large amount of literature research, and puts forward the current main challenges and possible development directions. The results show that it is an effective measure to combine artificial intelligence technology with a variety of new technologies to predict and identify COVID-19 patients.
参考中译：2019年12月下旬，发现了一种新型冠状病毒，后来被命名为严重急性呼吸综合征冠状病毒2型(SARS-CoV-2)。自发现以来，该病毒已在全球蔓延，截至2021年4月15日，已有2975,875人死亡，并对我们的卫生系统和经济产生了巨大影响。如何抑制新型冠状肺炎的持续蔓延，是许多科学家和研究人员的主要任务。人工智能技术的引入为抑制新型冠状病毒提供了巨大贡献。本文通过大量的文献研究，从识别、预测、发展三大方面论述了人工智能技术在冠状病毒抑制中的主要应用，并提出了当前面临的主要挑战和可能的发展方向。结果表明，将人工智能技术与多种新技术相结合，是预测和识别新冠肺炎患者的有效措施。



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