Role of digital technologies to combat COVID-19 pandemic

被引:5
|
作者
Rajendran, Ratchana [1 ]
Piali, Biswas [2 ]
Chandrakala, Panguluri [3 ]
Gampala, Veerraju [4 ]
Majji, Sankararao [5 ]
机构
[1] Christ Univ, Bangalore, Karnataka, India
[2] Jamshedpur Womens Coll, Ranchi, Bihar, India
[3] Auroras Post Grad Coll, Ramanthapur, India
[4] Koneru Lakshmaiah Educ Fdn, Guntur, Andhra Pradesh, India
[5] GRIET, Hyderabad, India
关键词
IoT; Artificial intelligence; Diagnosis; COVID-19; Coronavirus; BigData; ALGORITHM; OPTIMIZER;
D O I
10.1108/WJE-01-2021-0043
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
Purpose The unexpected epidemic of the latest coronavirus in 2019, known as COVID-19 by the Globe, a number of governments worldwide have been put in a vulnerable situation by the World Health Organization. The effect of the COVID-19 outbreak, previously experienced by China's citizens alone, has now become more pronounced. For practically every nation in the world, this is a matter of grave concern. The lack of assets to withstand the infection of COVID-19, mixed with the perception of overwhelmed medical mechanisms, pressured a number of places in a state of partial or absolute lockdown. Design/methodology/approach The medical photos such as computed tomography (CT) and X-ray playa key role in the worldwide battle against COVID-19, while artificial intelligence (AI) has recently appeared. The power of imaging is further increased by technology tools and support for medical specialists. In comparison to the related direct health effects because of the COVID-19 disaster, this research identifies its impacts on the overall society. Findings This paper hereby examines the rapid answers in the medical imaging community toward COVID-19 (empowered by AI). For example, the acquisition of AI-empowered images will significantly assist automate the scanning process and reshape the procedure as well. AI, too, may improve the quality of the job by correctly delineating X-ray and CT image infections, promoting subsequent infections, quantification. In addition, computer-aided platforms support radiologists make medical choices, i.e. for illness tracking, diagnosis and prognosis. Originality/value This research encompasses the whole medical imaging pipeline and methods for research related to COVID-19, include a collection of images, segmentation, diagnosis and monitoring. In drawing stuff to minimize the effects of the COVID-19 epidemic, this paper is investigating the use of technologies such as the internet of things, unmanned aerial vehicles, blockchain, AI, big data and 5G.
引用
收藏
页码:72 / 79
页数:8
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