The COVID-19 pandemic is rapidly spreading across the globe and infected millions of people that take hundreds of thousands of lives. Over the years, the role of Artificial intelligence (AI) has been on the rise as its algorithms are getting more and more accurate and it is thought that its role in strengthening the existing healthcare system will be the most profound. Moreover, the pandemic brought an opportunity to showcase AI and healthcare integration potentials as the current infrastructure worldwide is overwhelmed and crumbling. Due to AI’s flexibility and adaptability, it can be used as a tool to tackle COVID-19. Motivated by these facts, in this paper, we surveyed how the AI techniques can handle the COVID-19 pandemic situation and present the merits and demerits of these techniques. This paper presents a comprehensive end-to-end review of all the AI-techniques that can be used to tackle all areas of the pandemic. Further, we systematically discuss the issues of the COVID-19, and based on the literature review, we suggest their potential countermeasures using AI techniques. In the end, we analyze various open research issues and challenges associated with integrating the AI techniques in the COVID-19.

COVID-19 大流行病正在全球迅速蔓延，感染了数百万人，夺走了数十万人的生命。多年来，人工智能 (AI) 的作用一直在上升，因为它的算法越来越准确，人们认为它在加强现有医疗保健系统方面的作用将是最深远的。此外，随着当前全球基础设施不堪重负和摇摇欲坠，大流行带来了展示人工智能和医疗保健整合潜力的机会。由于人工智能的灵活性和适应性，它可以用作应对 COVID-19 的工具。受这些事实的启发，在本文中，我们调查了人工智能技术如何处理 COVID-19 大流行情况，并介绍了这些技术的优缺点。本文对可用于应对大流行所有领域的所有人工智能技术进行了全面的端到端审查。此外，我们系统地讨论了 COVID-19 的问题，并根据文献综述，我们建议他们使用 AI 技术的潜在对策。最后，我们分析了与在 COVID-19 中集成 AI 技术相关的各种开放研究问题和挑战。