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Artificial intelligence review
2022;55 (6): 4941-4977.

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

Yong Peng, Enbin Liu, Shanbi Peng, Qikun Chen, Dangjian Li, Dianpeng Lian
Author Information
  1. Yong Peng: Petroleum Engineering School, Southwest Petroleum University, Chengdu, 610500 China.
  2. Enbin Liu: Petroleum Engineering School, Southwest Petroleum University, Chengdu, 610500 China. ORCID
  3. Shanbi Peng: School of Civil Engineering and Geomatics, Southwest Petroleum University, Chengdu, 610500 China.
  4. Qikun Chen: School of Engineering, Cardiff University, Cardiff, CF24 3AA UK.
  5. Dangjian Li: Petroleum Engineering School, Southwest Petroleum University, Chengdu, 610500 China.
  6. Dianpeng Lian: Petroleum Engineering School, Southwest Petroleum University, Chengdu, 610500 China.
PMID: 35002010 DOI: 10.1007/s10462-021-10106-z

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.

Keywords

Artificial intelligence Blockchain COVID-19 Cloud computing Epidemic prevention and control Internet of Things

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