A Survey on Applications of Artificial Intelligence in Fighting Against COVID-19

Author:

Chen Jianguo1,Li Kenli2,Zhang Zhaolei3,Li Keqin4,Yu Philip S.5

Affiliation:

1. Hunan University, China and University of Toronto, Toronto, ON, Canada

2. Hunan University, Changsha, Hunan, China

3. University of Toronto, Toronto, ON, Canada

4. State University of New York, USA and Hunan University, Changsha, Hunan, China

5. University of Illinois at Chicago, Chicago, IL, USA

Abstract

The COVID-19 pandemic caused by the SARS-CoV-2 virus has spread rapidly worldwide, leading to a global outbreak. Most governments, enterprises, and scientific research institutions are participating in the COVID-19 struggle to curb the spread of the pandemic. As a powerful tool against COVID-19, artificial intelligence (AI) technologies are widely used in combating this pandemic. In this survey, we investigate the main scope and contributions of AI in combating COVID-19 from the aspects of disease detection and diagnosis, virology and pathogenesis, drug and vaccine development, and epidemic and transmission prediction. In addition, we summarize the available data and resources that can be used for AI-based COVID-19 research. Finally, the main challenges and potential directions of AI in fighting against COVID-19 are discussed. Currently, AI mainly focuses on medical image inspection, genomics, drug development, and transmission prediction, and thus AI still has great potential in this field. This survey presents medical and AI researchers with a comprehensive view of the existing and potential applications of AI technology in combating COVID-19 with the goal of inspiring researchers to continue to maximize the advantages of AI and big data to fight COVID-19.

Funder

National Key R&D Program of China

National Natural Science Foundation of China

International Postdoctoral Exchange Fellowship Program

NSF

Publisher

Association for Computing Machinery (ACM)

Subject

General Computer Science,Theoretical Computer Science

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