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

arXiv 2007.02202 ↗First posted 4 Jul 2020q-bio.QM cs.LGcited by 10

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Abstract (arXiv)

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.

Key facts. Cited by 10 papers in the map (data through 7 Oct 2026). First posted on arXiv 4 Jul 2020.

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Citing papers per year: 2021: 4; 2022: 2; 2023: 1; 2024: 1; 2025: 2.

10 papers.