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.

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人工智能在抗击 COVID-19 中的应用调查

由 SARS-CoV-2 病毒引起的 COVID-19 大流行已在全球迅速蔓延，导致全球爆发。大多数政府、企业和科研机构都在参与 COVID-19 抗击疫情的斗争。作为对抗 COVID-19 的强大工具，人工智能 (AI) 技术被广泛用于抗击这一流行病。在本次调查中，我们从疾病检测和诊断、病毒学和发病机制、药物和疫苗开发以及流行和传播预测等方面调查了人工智能在抗击 COVID-19 方面的主要范围和贡献。此外，我们总结了可用于基于 AI 的 COVID-19 研究的可用数据和资源。最后，讨论了人工智能在对抗 COVID-19 方面的主要挑战和潜在方向。现在，人工智能主要集中在医学影像检测、基因组学、药物开发和传播预测等领域，人工智能在该领域仍有很大潜力。这项调查向医学和人工智能研究人员展示了人工智能技术在抗击 COVID-19 中的现有和潜在应用的全面视图，目的是激励研究人员继续最大限度地利用人工智能和大数据的优势来对抗 COVID-19。