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应对新冠疫情的智能技术驱动方法:综述

Smart technologies driven approaches to tackle COVID-19 pandemic: a review.

作者信息

Khan Hameed, Kushwah K K, Singh Saurabh, Urkude Harshika, Maurya Muni Raj, Sadasivuni Kishor Kumar

机构信息

Department of Computer Science, GRKIST, Jabalpur, Madhya Pradesh India.

Department of Applied Physics, Jabalpur Engineering College, Jabalpur, Madhya Pradesh 482001 India.

出版信息

3 Biotech. 2021 Feb;11(2):50. doi: 10.1007/s13205-020-02581-y. Epub 2021 Jan 11.

DOI:10.1007/s13205-020-02581-y
PMID:33457174
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC7799428/
Abstract

The novel coronavirus infection (COVID-19) is not diminishing without vaccine, but it impinges on human safety and economy can be minimized by adopting smart technology to combat pandemic situation. The implementation of new innovations and novel tactics has proven to be effective in curbing the risk of COVID-19. The present study covers the role of smart technology in mitigating the spread of COVID-19 with specific focus on advancement in the field of drone, robotics, artificial intelligence (AI), mask, and sensor technology. The findings shed light on the robotics and drone technology-driven approaches that have been applied for assisting health system, surveillance, and disinfection process, etc. The AI technology strategies and framework is highlighted in terms of bulk data computing, predicting infection threats, providing medical assistance, and analyzing diagnosis results. Besides this, the technological shift in mask and sensor technology during the pandemic have been illustrated, which includes fabrication method like 3D printing and optical sensing, respectively. Furthermore, the strength, weakness, opportunities, and possible threats that have been shaped by the rigorous implementation of these technologies are also covered in detail.

摘要

新型冠状病毒感染(COVID-19)在没有疫苗的情况下不会自行消退,但通过采用智能技术应对疫情,可以将其对人类安全和经济的影响降至最低。新创新和新策略的实施已被证明在降低COVID-19风险方面是有效的。本研究涵盖了智能技术在减轻COVID-19传播方面的作用,特别关注无人机、机器人技术、人工智能(AI)、口罩和传感器技术领域的进展。研究结果揭示了机器人技术和无人机技术驱动的方法在协助卫生系统、监测和消毒过程等方面的应用。人工智能技术的策略和框架在大数据计算、预测感染威胁、提供医疗援助和分析诊断结果方面得到了突出体现。除此之外,还阐述了疫情期间口罩和传感器技术的技术转变,分别包括3D打印和光学传感等制造方法。此外,还详细介绍了这些技术的严格实施所形成的优势、劣势、机遇和可能的威胁。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1466/7801589/1dd6bd3ac446/13205_2020_2581_Fig7_HTML.jpg
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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1466/7801589/1dd6bd3ac446/13205_2020_2581_Fig7_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1466/7801589/8a3b20b1039e/13205_2020_2581_Fig1_HTML.jpg
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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1466/7801589/ca9fce903993/13205_2020_2581_Fig3_HTML.jpg
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