人工智能在COVID-19中的应用现状分析

Jia-jun Yuan, B. Dong, Han-song Wang, Min Zhou, D. Tian, Weiwei Guo, Shijian Liu, Lie-bin Zhao
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引用次数: 1

摘要

2019年12月以来,新型冠状病毒肺炎(COVID-19)在湖北武汉爆发,引起国际社会广泛关注。虽然人工智能是近年来的重点发展领域,但目前还没有关于人工智能在本次疫情中的应用和效果的研究。本研究基于人工智能场景在典型案例中的应用,分析人工智能在疫情监测、临床诊断、公共卫生管理等相关科研领域的实践与效果。并结合发展现状,提出了一些建议,以期更好地发挥人工智能在中国公共卫生应急系统中的作用。关键词:人工智能;突发公共卫生事件;应用程序;应急管理
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Analysis on the application status of artificial intelligence in COVID-19
Since December 2019, an outbreak of novel coronavirus pneumonia (COVID-19) in Wuhan, Hubei Province, which has caused wide public concern all through the world. Although artificial intelligence is a priority development fields in recent years, there is no study on the application and effect of AI in this epidemic. Based on the application of AI scenarios in typical cases, the research analyzes the practice and effectiveness of AI in epidemic surveillance, clinical diagnose, public health management and other related scientific research. Besides, combined with the current situation of development, some suggestions are put forward in order to better play the role of artificial intelligence in the public health emergency system in China. Key words: Artificial intelligence; Public health emergency; Applications; Contingency management
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