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Using artificial intelligence technology to fight COVID-19: a review

Peng, Yong, Liu, Enbin, Peng, Shanbi, Chen, Qikun, Li, Dangjian and Lian, Dianpeng 2022. Using artificial intelligence technology to fight COVID-19: a review. Artificial Intelligence Review 55 , pp. 4941-4977. 10.1007/s10462-021-10106-z

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Abstract

In late December 2019, a new type of coronavirus was discovered, which was later named severe acute respiratory syndrome coronavirus 2(SARS-CoV-2). Since its discovery, the virus has spread globally, with 2,975,875 deaths as of 15 April 2021, and has had a huge impact on our health systems and economy. How to suppress the continued spread of new coronary pneumonia is the main task of many scientists and researchers. The introduction of artificial intelligence technology has provided a huge contribution to the suppression of the new coronavirus. This article discusses the main application of artificial intelligence technology in the suppression of coronavirus from three major aspects of identification, prediction, and development through a large amount of literature research, and puts forward the current main challenges and possible development directions. The results show that it is an effective measure to combine artificial intelligence technology with a variety of new technologies to predict and identify COVID-19 patients.

Item Type: Article
Date Type: Publication
Status: Published
Schools: Engineering
Publisher: Springer
ISSN: 0269-2821
Date of Acceptance: 12 November 2021
Last Modified: 26 Jul 2022 12:53
URI: https://orca.cardiff.ac.uk/id/eprint/146737

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