Research Article
IoT and AI Technology Used for COVID-19 Pandemic Control
@INPROCEEDINGS{10.1007/978-3-030-94182-6_40, author={Shu-Wen Chen and Xiao-Wei Gu}, title={IoT and AI Technology Used for COVID-19 Pandemic Control}, proceedings={IoT and Big Data Technologies for Health Care. Second EAI International Conference, IoTCare 2021, Virtual Event, October 18-19, 2021, Proceedings, Part II}, proceedings_a={IOTCARE PART 2}, year={2022}, month={6}, keywords={Internet of Things COVID-19 Epidemic prevention}, doi={10.1007/978-3-030-94182-6_40} }- Shu-Wen Chen
Xiao-Wei Gu
Year: 2022
IoT and AI Technology Used for COVID-19 Pandemic Control
IOTCARE PART 2
Springer
DOI: 10.1007/978-3-030-94182-6_40
Abstract
The pandemic of COVID-19 is going on spreading in 2021, which has infected at least 170 million of people around the world. The healthcare systems are overwhelmed due to the virus infection. Luckily, Internet of Things (IoT) is one of the most effective paradigms in the smart world, in which artificial intelligence technology, like cloud computing and big data analysis, is playing a vital role in epidemic prevention and blocking COVID-19 spreading. For example, in terms of remote screening and diagnosis of the COVID-19 patients, AI technology based on machine learning and deep learning has significantly upgraded recently medical equipment and reshapes the workflow with minimal contact to patients, therefore medical specialists can make clinical decisions more efficiently, providing the best protection not only to patients but also specialists themselves. This paper hereby reviews the latest progress of IoT systems combined AI against COVID-19, and it also provide comprehensive detail on how to overcome the epidemic challenges along with directions towards the possible technology trends for future work.
