AIoT Used for COVID-19 Pandemic Prevention and Control

被引:13
作者
Chen, Shu-Wen [1 ,2 ]
Gu, Xiao-Wei [1 ]
Wang, Jia-Ji [1 ]
Zhu, Hui-Sheng [1 ]
机构
[1] Jiangsu Second Normal Univ, Sch Math & Informat Technol, Nanjing 211200, Peoples R China
[2] Southeast Univ, State Key Lab Millimeter Waves, Nanjing 210096, Peoples R China
关键词
DIAGNOSIS; CLASSIFICATION;
D O I
10.1155/2021/3257035
中图分类号
R8 [特种医学]; R445 [影像诊断学];
学科分类号
1002 ; 100207 ; 1009 ;
摘要
The pandemic of COVID-19 is continuing to wreak havoc in 2021, with at least 170 million victims around the world. Healthcare systems are overwhelmed by the large-scale virus infection. Luckily, Internet of Things (IoT) is one of the most effective paradigms in the intelligent world, in which the technology of artificial intelligence (AI), like cloud computing and big data analysis, is playing a vital role in preventing the spread of the pandemic of COVID-19. AI and 5G technologies are advancing by leaps and bounds, further strengthening the intelligence and connectivity of IoT applications, and conventional IoT has been gradually upgraded to be more powerful AI + IoT (AIoT). For example, in terms of remote screening and diagnosis of COVID-19 patients, AI technology based on machine learning and deep learning has recently upgraded medical equipment significantly and has reshaped the workflow with minimal contact with patients, so medical specialists can make clinical decisions more efficiently, providing the best protection not only to patients but also to specialists themselves. This paper reviews the latest progress made in combating COVID-19 with both IoT and AI and also provides comprehensive details on how to combat the pandemic of COVID-19 as well as the technologies that may be applied in the future.
引用
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页数:23
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