School of Math and Information Technology, Jiangsu Second Normal University, Nanjing 211200, China.
State Key Laboratory of Millimeter Waves, Southeast University, Nanjing 210096, China.
Contrast Media Mol Imaging. 2021 Oct 13;2021:3257035. doi: 10.1155/2021/3257035. eCollection 2021.
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.
2021 年,COVID-19 疫情仍在肆虐,全球至少有 1.7 亿人受到影响。医疗系统因大规模病毒感染而不堪重负。幸运的是,物联网(IoT)是智能世界中最有效的范例之一,其中人工智能(AI)技术,如云计算和大数据分析,在预防 COVID-19 疫情传播方面发挥着重要作用。AI 和 5G 技术正在突飞猛进地发展,进一步增强了物联网应用的智能和连接性,传统的物联网已经逐渐升级为更强大的 AI+IoT(AIoT)。例如,在 COVID-19 患者的远程筛查和诊断方面,基于机器学习和深度学习的 AI 技术最近显著升级了医疗设备,并以最小的患者接触重塑了工作流程,使医疗专家能够更有效地做出临床决策,不仅为患者,也为专家自身提供最佳保护。本文综述了物联网和 AI 在抗击 COVID-19 方面的最新进展,并全面介绍了如何抗击 COVID-19 疫情以及未来可能应用的技术。