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当前人工智能 (AI) 技术在控制和抗击 COVID-19 方面的挑战和方法:综述。

Current Artificial Intelligence (AI) Techniques, Challenges, and Approaches in Controlling and Fighting COVID-19: A Review.

机构信息

Faculty of Computing and Information Technology, University of Tabuk, KSA, Tabuk 71491, Saudi Arabia.

Industrial Innovation and Robotics Center, University of Tabuk, KSA, Tabuk 71491, Saudi Arabia.

出版信息

Int J Environ Res Public Health. 2022 May 12;19(10):5901. doi: 10.3390/ijerph19105901.

Abstract

SARS-CoV-2 (COVID-19) has been one of the worst global health crises in the 21st century. The currently available rollout vaccines are not 100% effective for COVID-19 due to the evolving nature of the virus. There is a real need for a concerted effort to fight the virus, and research from diverse fields must contribute. Artificial intelligence-based approaches have proven to be significantly effective in every branch of our daily lives, including healthcare and medical domains. During the early days of this pandemic, artificial intelligence (AI) was utilized in the fight against this virus outbreak and it has played a major role in containing the spread of the virus. It provided innovative opportunities to speed up the development of disease interventions. Several methods, models, AI-based devices, robotics, and technologies have been proposed and utilized for diverse tasks such as surveillance, spread prediction, peak time prediction, classification, hospitalization, healthcare management, heath system capacity, etc. This paper attempts to provide a quick, concise, and precise survey of the state-of-the-art AI-based techniques, technologies, and datasets used in fighting COVID-19. Several domains, including forecasting, surveillance, dynamic times series forecasting, spread prediction, genomics, compute vision, peak time prediction, the classification of medical imaging-including CT and X-ray and how they can be processed-and biological data (genome and protein sequences) have been investigated. An overview of the open-access computational resources and platforms is given and their useful tools are pointed out. The paper presents the potential research areas in AI and will thus encourage researchers to contribute to fighting against the virus and aid global health by slowing down the spread of the virus. This will be a significant contribution to help minimize the high death rate across the globe.

摘要

SARS-CoV-2(COVID-19)是 21 世纪最严重的全球卫生危机之一。由于病毒的不断演变,目前可用的疫苗对 COVID-19 的有效性并非 100%。因此,我们确实需要齐心协力对抗病毒,各个领域的研究都必须做出贡献。基于人工智能的方法已被证明在我们日常生活的各个领域(包括医疗保健和医学领域)都非常有效。在这场大流行的早期,人工智能(AI)就被用于抗击病毒的爆发,它在遏制病毒传播方面发挥了重要作用。它为加速疾病干预措施的开发提供了创新机会。已经提出并利用了几种方法、模型、基于人工智能的设备、机器人和技术,用于各种任务,如监测、传播预测、高峰时间预测、分类、住院、医疗保健管理、卫生系统容量等。本文旨在快速、简洁、准确地概述用于抗击 COVID-19 的基于人工智能的技术、技术和数据集。调查了包括预测、监测、动态时间序列预测、传播预测、基因组学、计算视觉、高峰时间预测、医学成像分类(包括 CT 和 X 射线)以及如何对其进行处理在内的多个领域,以及生物数据(基因组和蛋白质序列)。概述了开放获取的计算资源和平台,并指出了它们的有用工具。本文提出了人工智能的潜在研究领域,从而鼓励研究人员为抗击病毒做出贡献,通过减缓病毒的传播来帮助改善全球健康。这将是一个重要的贡献,有助于降低全球的高死亡率。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/12e0/9140632/1c62b44882b4/ijerph-19-05901-g001.jpg

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