Artificial Intelligence and Internet of Things (AI-IoT) Technologies in Response to COVID-19 Pandemic: A Systematic Review

【Author】 Khan, Junaid Iqbal; Khan, Jebran; Ali, Furqan; Ullah, Farman; Bacha, Jamshid; Lee, Sungchang

【Source】IEEE ACCESS

【影响因子】3.476

【Abstract】The origin of the COVID-19 pandemic has given overture to redirection, as well as innovation to many digital technologies. Even after the progression of vaccination efforts across the globe, total eradication of this pandemic is still a distant future due to the evolution of new variants. To proactively deal with the pandemic, the health care service providers and the caretaker organizations require new technologies, alongside improvements in existing related technologies, Internet of Things (IoT), Artificial Intelligence (AI), and Machine Learning in terms of infrastructure, efficiency, privacy, and security. This paper provides an overview of current theoretical and application prospects of IoT, AI, cloud computing, edge computing, deep learning techniques, blockchain technologies, social networks, robots, machines, privacy, and security techniques. In consideration of these prospects in intersection with the COVID-19 pandemic, we reviewed the technologies within the broad umbrella of AI-IoT technologies in the most concise classification scheme. In this review, we illustrated that AI-IoT technological applications and innovations have most impacted the field of healthcare. The essential AI-IoT technologies found for healthcare were fog computing in IoT, deep learning, and blockchain. Furthermore, we highlighted several aspects of these technologies and their future impact with a novel methodology of using techniques from image processing, machine learning, and differential system modeling.

【Keywords】COVID-19; Image edge detection; Artificial intelligence; Pandemics; Feature extraction; Internet of Things; Image processing; Artificial intelligence; compartment model; COVID-19; internet of things; image processing

【发表时间】2022

【收录时间】2022-06-29

【文献类型】综述

【主题类别】

区块链应用-实体经济-医疗领域