论文标题

与冠状病毒战斗的人工智能(Covid-19):调查和未来的研究指示

Artificial Intelligence in the Battle against Coronavirus (COVID-19): A Survey and Future Research Directions

论文作者

Nguyen, Thanh Thi, Nguyen, Quoc Viet Hung, Nguyen, Dung Tien, Yang, Samuel, Eklund, Peter W., Huynh-The, Thien, Nguyen, Thanh Tam, Pham, Quoc-Viet, Razzak, Imran, Hsu, Edbert B.

论文摘要

人工智能(AI)以多种成功故事的方式在我们的日常生活中广泛应用。 AI还有助于处理全球一直在发生的冠状病毒病(Covid-19)大流行。本文介绍了一项针对COVID-19爆发的斗争中用于各种应用中使用的AI方法的调查,并概述了AI研究在这场前所未有的战斗中的关键作用。我们触摸AI作为重要组成部分的领域,从医学图像处理,数据分析,文本挖掘和自然语言处理,物联网到计算生物学和医学。还提供了用于研究目的的COVID-19相关数据源的摘要。彻底讨论了有关探索AI潜力并增强其能力和力量的潜力的研究指示。我们确定了13个与19日大流行有关的问题组,并突出了可用于解决这些问题的有希望的AI方法和工具。可以预见的是,这项研究将为AI研究人员和更广泛的社区提供AI应用程序现状的概述,并激励研究人员利用AI在对抗Covid-19的斗争中的潜力。

Artificial intelligence (AI) has been applied widely in our daily lives in a variety of ways with numerous success stories. AI has also contributed to dealing with the coronavirus disease (COVID-19) pandemic, which has been happening around the globe. This paper presents a survey of AI methods being used in various applications in the fight against the COVID-19 outbreak and outlines the crucial role of AI research in this unprecedented battle. We touch on areas where AI plays as an essential component, from medical image processing, data analytics, text mining and natural language processing, the Internet of Things, to computational biology and medicine. A summary of COVID-19 related data sources that are available for research purposes is also presented. Research directions on exploring the potential of AI and enhancing its capability and power in the pandemic battle are thoroughly discussed. We identify 13 groups of problems related to the COVID-19 pandemic and highlight promising AI methods and tools that can be used to address these problems. It is envisaged that this study will provide AI researchers and the wider community with an overview of the current status of AI applications, and motivate researchers to harness AI's potential in the fight against COVID-19.

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