Artificial Intelligence in the Battle against Coronavirus (COVID-19): A Survey and Future Research Directions
July 30, 2020 ยท The Cartographer ยท ๐ arXiv.org
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"Title-pattern auto-detect: Artificial Intelligence in the Battle against Coronavirus (COVID-19): A Survey and Future Research D"
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Authors
Thanh Thi Nguyen, Quoc Viet Hung Nguyen, Dung Tien Nguyen, Samuel Yang, Peter W. Eklund, Thien Huynh-The, Thanh Tam Nguyen, Quoc-Viet Pham, Imran Razzak, Edbert B. Hsu
arXiv ID
2008.07343
Category
cs.CY: Computers & Society
Cross-listed
cs.AI,
cs.LG
Citations
197
Venue
arXiv.org
Last Checked
8 days ago
Abstract
Artificial intelligence (AI) has been applied widely in our daily lives in a variety of ways with numerous success stories. AI has also contributed to dealing with the coronavirus disease (COVID-19) pandemic, which has been happening around the globe. This paper presents a survey of AI methods being used in various applications in the fight against the COVID-19 outbreak and outlines the crucial role of AI research in this unprecedented battle. We touch on areas where AI plays as an essential component, from medical image processing, data analytics, text mining and natural language processing, the Internet of Things, to computational biology and medicine. A summary of COVID-19 related data sources that are available for research purposes is also presented. Research directions on exploring the potential of AI and enhancing its capability and power in the pandemic battle are thoroughly discussed. We identify 13 groups of problems related to the COVID-19 pandemic and highlight promising AI methods and tools that can be used to address these problems. It is envisaged that this study will provide AI researchers and the wider community with an overview of the current status of AI applications, and motivate researchers to harness AI's potential in the fight against COVID-19.
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