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人工智能助力抗击新冠疫情。

AI in Combating the COVID-19 Pandemic.

作者信息

Cao Longbing

机构信息

University of Technology Sydney Sydney NSW 2007 Australia.

出版信息

IEEE Intell Syst. 2022 May 20;37(2):3-13. doi: 10.1109/MIS.2022.3164313. eCollection 2022 Mar.

Abstract

The SARS-CoV-2 virus, the COVID-19 disease, and the resulting pandemic have reshaped the entire world in an unprecedented manner. Massive efforts have been made by AI communities to combat the pandemic. What roles has AI played in tackling COVID-19? How has AI performed in the battle against COVID-19? Where are the gaps and opportunities? What lessons can we learn to enhance the ability of AI to battle future pandemics? These questions, despite being fundamental, are yet to be answered in full or systematically. They need to be addressed by AI communities as a priority despite the easing of the omicron infectiousness and threat. This article reviews these issues with reflections on global AI research and the literature on tackling COVID-19. It is envisaged that the demand and priority of developing "pandemic AI" will increase over time, with smart global epidemic early warning systems to be developed by a global collaborative AI effort.

摘要

严重急性呼吸综合征冠状病毒2(SARS-CoV-2)、新型冠状病毒肺炎(COVID-19)疾病以及由此引发的大流行以前所未有的方式重塑了整个世界。人工智能社区为抗击这一大流行做出了巨大努力。人工智能在应对COVID-19中发挥了哪些作用?人工智能在抗击COVID-19的战斗中表现如何?差距和机遇在哪里?我们可以吸取哪些经验教训来提高人工智能抗击未来大流行的能力?这些问题虽然至关重要,但尚未得到全面或系统的解答。尽管奥密克戎的传染性和威胁有所缓解,但人工智能社区仍需优先解决这些问题。本文通过对全球人工智能研究以及应对COVID-19的文献的思考来审视这些问题。预计随着时间的推移,开发“大流行人工智能”的需求和优先级将会增加,全球人工智能合作将开发智能全球疫情预警系统。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/490d/9328726/c9b873454c45/cao1-3164313.jpg

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