Artificial Intelligence for Fighting the COVID-19 Pandemic

Salgotra, R; Rahimi, I; Gandomi, AH

Artificial Intelligence for Fighting the COVID-19 Pandemic

Salgotra, R Rahimi, I Gandomi, AH

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Publisher:: Springer
Publication Type:: Chapter
Citation:: Humanity Driven AI, 2022, pp. 165-177
Issue Date:: 2022-12-02

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Field	Value	Language
dc.contributor.author	Salgotra, R
dc.contributor.author	Rahimi, I
dc.contributor.author	Gandomi, AH
dc.date.accessioned	2023-02-10T09:06:17Z
dc.date.available	2023-02-10T09:06:17Z
dc.date.issued	2022-12-02
dc.identifier.citation	Humanity Driven AI, 2022, pp. 165-177
dc.identifier.isbn	978-3-030-72187-9
dc.identifier.uri	http://hdl.handle.net/10453/166054
dc.description.abstract	With the advent of coronavirus (COVID-19), the pandemic which has created massive chaos around the world, millions of people have been affected and almost a million dead. Numerous studies have been put forth to control and devise a new medicine for the ongoing COVID-19. Artificial intelligence (AI) has been widely applied to perform various tasks in our daily life and has emerged as the most successful player in the recent times. AI has also been used to deal with the pandemic situation, and various studies have been presented to analyse and estimate the possible impact of COVID-19 using AI-based techniques. AI-based models, such as neural networks, can be used for detecting viruses with high sensitivity and speed. Also, forecasting models, such as long short-term memory (LSTM) and autoregressive moving average (ARIMA), as another aspect of AI has played a significant role in combating the COVID-19 pandemic. Also transfer learning-based techniques can be used to analyse the possible impact of COVID-19. In this chapter, we will be dealing with the unprecedented role of AI for combating the battle against COVID-19 pandemic. Here a number of different areas have been explored where AI plays a significant role and in an essential component. These include medical imaging, deep learning, natural language processing, computational biology, Internet of things, data analytics, time series analysis and others. A detailed case study on the already proposed literature is also presented. Apart from that, research directions based on the potential impact of AI and possible measures required to enhance its capabilities for the current scenario have been discussed. It is expected that this study will highlight some background to the AI research community and also to the other wider research areas about the contribution of AI in combating COVID-19 and hence provide prospective aspects in harnessing AI against the global pandemic.
dc.format.extent	15
dc.language	en
dc.publisher	Springer
dc.relation.ispartof	Humanity Driven AI
dc.relation.isbasedon	10.1007/978-3-030-72188-6_8
dc.rights	info:eu-repo/semantics/embargoedAccess
dc.title	Artificial Intelligence for Fighting the COVID-19 Pandemic
dc.type	Chapter
pubs.organisational-group	/University of Technology Sydney
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology/School of Computer Science
utslib.copyright.status	open_access	*
pubs.consider-herdc	false
utslib.copyright.embargo	2023-12-02T00:00:00+1000Z
dc.date.updated	2023-02-10T09:06:16Z
pubs.place-of-publication	Switzerland
pubs.publication-status	Published
dc.location	Switzerland

Abstract:

With the advent of coronavirus (COVID-19), the pandemic which has created massive chaos around the world, millions of people have been affected and almost a million dead. Numerous studies have been put forth to control and devise a new medicine for the ongoing COVID-19. Artificial intelligence (AI) has been widely applied to perform various tasks in our daily life and has emerged as the most successful player in the recent times. AI has also been used to deal with the pandemic situation, and various studies have been presented to analyse and estimate the possible impact of COVID-19 using AI-based techniques. AI-based models, such as neural networks, can be used for detecting viruses with high sensitivity and speed. Also, forecasting models, such as long short-term memory (LSTM) and autoregressive moving average (ARIMA), as another aspect of AI has played a significant role in combating the COVID-19 pandemic. Also transfer learning-based techniques can be used to analyse the possible impact of COVID-19. In this chapter, we will be dealing with the unprecedented role of AI for combating the battle against COVID-19 pandemic. Here a number of different areas have been explored where AI plays a significant role and in an essential component. These include medical imaging, deep learning, natural language processing, computational biology, Internet of things, data analytics, time series analysis and others. A detailed case study on the already proposed literature is also presented. Apart from that, research directions based on the potential impact of AI and possible measures required to enhance its capabilities for the current scenario have been discussed. It is expected that this study will highlight some background to the AI research community and also to the other wider research areas about the contribution of AI in combating COVID-19 and hence provide prospective aspects in harnessing AI against the global pandemic.

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http://hdl.handle.net/10453/166054