论文标题

一项关于人工智能在与Covid-19战斗中的应用的调查

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

论文作者

Chen, Jianguo, Li, Kenli, Zhang, Zhaolei, Li, Keqin, Yu, Philip S.

论文摘要

由SARS-COV-2病毒引起的COVID-19大流行已在全球范围内迅速传播,导致全球疫情。大多数政府,企业和科学研究机构都参加了19日的Covid-19努力遏制大流行的传播。作为反对Covid-19的强大工具,人工智能(AI)技术被广泛用于打击这一大流行。在这项调查中,我们研究了AI在疾病检测和诊断,病毒学和发病机理,药物和疫苗发育以及流行病和传播预测方面对AI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AI在与Covid-19作战中的主要挑战和潜在方向。目前,AI主要关注医学图像检查,基因组学,药物开发和传播预测,因此AI在该领域仍然具有很大的潜力。这项调查向医学和AI研究人员展示了对AI技术在对抗Covid-19中的现有和潜在应用的全面看法,目的是激发研究人员继续最大程度地提高AI和大数据的优势,以抗击Covid-19。

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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