A Survey on Applications of Artificial Intelligence in Fighting Against COVID-19
Jianguo Chen, Kenli Li, Zhaolei Zhang, Keqin Li, Philip S. Yu

TL;DR
This survey reviews how artificial intelligence has been applied across various aspects of COVID-19, including detection, diagnosis, drug development, and transmission prediction, highlighting current uses and future potential.
Contribution
It provides a comprehensive overview of AI applications in COVID-19 research, summarizing existing data, challenges, and future directions in this rapidly evolving field.
Findings
AI is mainly used in medical imaging, genomics, drug development, and transmission prediction.
AI has significant potential to further aid COVID-19 research and control measures.
Current AI applications have contributed to faster diagnosis and understanding of COVID-19.
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,…
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Taxonomy
TopicsCOVID-19 diagnosis using AI · SARS-CoV-2 and COVID-19 Research · Digital Imaging for Blood Diseases
