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
收藏
页数:23
相关论文
共 70 条
[1]  
Al Bassam Nizar, 2021, Inform Med Unlocked, V24, P100588, DOI 10.1016/j.imu.2021.100588
[2]   Opportunities and challenges for the building monitoring systems in the age-pandemic of COVID-19: Review and prospects [J].
Al-Humairi, Safaa N. Saud ;
Kamal, Ahmad Aiman A. .
INNOVATIVE INFRASTRUCTURE SOLUTIONS, 2021, 6 (02)
[3]   Ensemble-based bag of features for automated classification of normal and COVID-19 CXR images [J].
Ashour, Amira S. ;
Eissa, Merihan M. ;
Wahba, Maram A. ;
Elsawy, Radwa A. ;
Elgnainy, Hamada Fathy ;
Tolba, Mohamed Saeed ;
Mohamed, Waleed S. .
BIOMEDICAL SIGNAL PROCESSING AND CONTROL, 2021, 68
[4]  
Ashraf M.S., 2020, 2020 International Conference on Electrical, Communication, and Computer Engineering (ICECCE), P1
[5]   Software Quality Evaluation of a Low-cost Multimodal Telemedicine and Telehealth Station [J].
Beckhauser, Eduardo ;
Petrolini, Vinicius A. ;
von Wangenheim, Aldo ;
Savaris, Alexandre ;
Krechel, Dirk .
2018 31ST IEEE INTERNATIONAL SYMPOSIUM ON COMPUTER-BASED MEDICAL SYSTEMS (CBMS 2018), 2018, :444-445
[6]   An Intelligent and Energy-Efficient Wireless Body Area Network to Control Coronavirus Outbreak [J].
Bilandi, Naveen ;
Verma, Harsh K. ;
Dhir, Renu .
ARABIAN JOURNAL FOR SCIENCE AND ENGINEERING, 2021, 46 (09) :8203-8222
[7]  
Chand RD, 2019, 2019 9TH INTERNATIONAL CONFERENCE ON CLOUD COMPUTING, DATA SCIENCE & ENGINEERING (CONFLUENCE 2019), P601, DOI [10.1109/CONFLUENCE.2019.8776970, 10.1109/confluence.2019.8776970]
[8]   A Security Awareness and Protection System for 5G Smart Healthcare Based on Zero-Trust Architecture [J].
Chen, Baozhan ;
Qiao, Siyuan ;
Zhao, Jie ;
Liu, Dongqing ;
Shi, Xiaobing ;
Lyu, Minzhao ;
Chen, Haotian ;
Lu, Huimin ;
Zhai, Yunkai .
IEEE INTERNET OF THINGS JOURNAL, 2021, 8 (13) :10248-10263
[9]  
Chilipirea C., 2020, IEEE GLOBE WORK, DOI DOI 10.1109/GCWkshps50303.2020.9367539
[10]   Severity Monitoring Device for COVID-19 Positive Patients [J].
Dhadge, Aman ;
Tilekar, Girish .
2020 3RD INTERNATIONAL CONFERENCE ON CONTROL AND ROBOTS (ICCR 2020), 2020, :25-29