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基于区块链和人工智能的应对类冠状病毒(COVID-19)疫情的解决方案:一项综述。

Blockchain and AI-Based Solutions to Combat Coronavirus (COVID-19)-Like Epidemics: A Survey.

作者信息

Nguyen Dinh C, Ding Ming, Pathirana Pubudu N, Seneviratne Aruna

机构信息

School of EngineeringDeakin University Waurn Ponds VIC 3216 Australia.

Data61CSIRO Eveleigh NSW 2015 Australia.

出版信息

IEEE Access. 2021 Jun 30;9:95730-95753. doi: 10.1109/ACCESS.2021.3093633. eCollection 2021.

Abstract

The beginning of 2020 has seen the emergence of coronavirus outbreak caused by a novel virus called SARS-CoV-2. The sudden explosion and uncontrolled worldwide spread of COVID-19 show the limitations of existing healthcare systems in timely handling public health emergencies. In such contexts, innovative technologies such as blockchain and Artificial Intelligence (AI) have emerged as promising solutions for fighting coronavirus epidemic. In particular, blockchain can combat pandemics by enabling early detection of outbreaks, ensuring the ordering of medical data, and ensuring reliable medical supply chain during the outbreak tracing. Moreover, AI provides intelligent solutions for identifying symptoms caused by coronavirus for treatments and supporting drug manufacturing. Therefore, we present an extensive survey on the use of blockchain and AI for combating COVID-19 epidemics. First, we introduce a new conceptual architecture which integrates blockchain and AI for fighting COVID-19. Then, we survey the latest research efforts on the use of blockchain and AI for fighting COVID-19 in various applications. The newly emerging projects and use cases enabled by these technologies to deal with coronavirus pandemic are also presented. A case study is also provided using federated AI for COVID-19 detection. Finally, we point out challenges and future directions that motivate more research efforts to deal with future coronavirus-like epidemics.

摘要

2020年初,一种名为SARS-CoV-2的新型病毒引发了冠状病毒疫情。COVID-19的突然爆发和在全球范围内的失控传播显示出现有医疗系统在及时应对突发公共卫生事件方面的局限性。在这种背景下,区块链和人工智能(AI)等创新技术已成为抗击新冠疫情的有前景的解决方案。特别是,区块链可以通过实现疫情的早期检测、确保医疗数据的有序性以及在疫情追踪期间确保可靠的医疗供应链来抗击疫情。此外,人工智能为识别由冠状病毒引起的症状以进行治疗和支持药物制造提供智能解决方案。因此,我们对区块链和人工智能在抗击COVID-19疫情中的应用进行了广泛的调查。首先,我们介绍一种将区块链和人工智能集成用于抗击COVID-19的新概念架构。然后,我们调查了在各种应用中使用区块链和人工智能抗击COVID-19的最新研究成果。还介绍了这些技术为应对冠状病毒大流行而启用的新出现的项目和用例。还提供了一个使用联邦人工智能进行COVID-19检测的案例研究。最后,我们指出了挑战和未来方向,以激励更多的研究工作来应对未来类似冠状病毒的疫情。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8c50/8545197/466c24b91717/nguye1-3093633.jpg

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