Yi Junfei, Zhang Hui, Mao Jianxu, Chen Yurong, Zhong Hang, Wang Yaonan
College of Electrical and Information Engineering, Hunan university, changsha, 410006, Hunan, China.
College of Robotics, Hunan university, changsha, 410006, Hunan, China.
Eng Appl Artif Intell. 2022 Sep;114:105184. doi: 10.1016/j.engappai.2022.105184. Epub 2022 Jul 11.
As a new technology, artificial intelligence (AI) has recently received increasing attention from researchers and has been successfully applied to many domains. Currently, the outbreak of the COVID-19 pandemic has not only put people's lives in jeopardy but has also interrupted social activities and stifled economic growth. Artificial intelligence, as the most cutting-edge science field, is critical in the fight against the pandemic. To respond scientifically to major emergencies like COVID-19, this article reviews the use of artificial intelligence in the combat against the pandemic from COVID-19 large data, intelligent devices and systems, and intelligent robots. This article's primary contributions are in two aspects: (1) we summarized the applications of AI in the pandemic, including virus spreading prediction, patient diagnosis, vaccine development, excluding potential virus carriers, telemedicine service, economic recovery, material distribution, disinfection, and health care. (2) We concluded the faced challenges during the AI-based pandemic prevention process, including multidimensional data, sub-intelligent algorithms, and unsystematic, and discussed corresponding solutions, such as 5G, cloud computing, and unsupervised learning algorithms. This article systematically surveyed the applications and challenges of AI technology during the pandemic, which is of great significance to promote the development of AI technology and can serve as a new reference for future emergencies.
作为一项新技术,人工智能(AI)最近受到了研究人员越来越多的关注,并已成功应用于许多领域。目前,新冠疫情的爆发不仅危及人们的生命,还中断了社会活动并抑制了经济增长。人工智能作为最前沿的科学领域,在抗击疫情中至关重要。为了科学应对像新冠疫情这样的重大紧急情况,本文从新冠大数据、智能设备与系统以及智能机器人等方面综述了人工智能在抗击疫情中的应用。本文的主要贡献体现在两个方面:(1)我们总结了人工智能在疫情中的应用,包括病毒传播预测、患者诊断、疫苗研发、排除潜在病毒携带者、远程医疗服务、经济复苏、物资配送、消毒以及医疗保健。(2)我们总结了基于人工智能的疫情防控过程中面临的挑战,包括多维数据、次智能算法以及缺乏系统性,并讨论了相应的解决方案,如5G、云计算以及无监督学习算法。本文系统地调研了疫情期间人工智能技术的应用与挑战,这对推动人工智能技术的发展具有重要意义,可为未来应对紧急情况提供新的参考。