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Practical scenarios of artificial intelligence in the prevention and control of COVID-19
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Science & Technology Review | 2021, 39(15) : 135 - 141
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Science & Technology Review | 2021, 39(15): 135-141
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Practical scenarios of artificial intelligence in the prevention and control of COVID-19
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SHA Dechun, JING Jing
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    College of Information and Management Science, Henan Agricultural University, Zhengzhou 450046, China
Published: 2021-08-13 doi: 10.3981/j.issn.1000-7857.2021.15.014
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In early 2020, COVID-19 outbroke in many countries around the world. Governments of various countries have since adopted diversified prevention and control measures to control the epidemic. Among them, AI has been an important auxiliary means that plays a unique role in prevention and control of COVID-19. The practical scenarios of AI assisting the prevention and control of COVID-19 have been focused on research field, mainly including epidemic monitoring and early warning, medical diagnosis, virus and drug research and development. The application of AI technology has significant effects on controlling the spread of the epidemic, alleviating the pressure of diagnosis and treatment and improving the efficiency of research and development. At the same time, AI is still facing practical problems such as regulations and ethics, data security, and algorithmic bias. Based on this, suggestions such as perfecting laws and regulations, ensuring data security, and strengthening talent training are proposed.
artificial intelligence  /  COVID-19  /  medical
SHA Dechun, JING Jing. Practical scenarios of artificial intelligence in the prevention and control of COVID-19[J]. Science & Technology Review, 2021 , 39 (15) : 135 -141 . DOI: 10.3981/j.issn.1000-7857.2021.15.014
Year 2021 volume 39 Issue 15
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doi: 10.3981/j.issn.1000-7857.2021.15.014
  • Receive Date:2020-06-09
  • Online Date:2021-09-07
  • Published:2021-08-13
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  • Received:2020-06-09
  • Revised:2021-03-21
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表12种不同金属材料的力学参数

Family
属数
Number of
genus
种数
Number of
species
占总种数比例
Percentage of
total species (%)

Genus
种数
Number of
species
占总种数比例
Percentage of total
species (%)
鹅膏菌科Amanitaceae 2 11 5.26 鹅膏菌属 Amanita 10 4.78
小菇科 Mycenaceae 2 12 5.74 丝盖伞属 Inocybe 5 2.39
多孔菌科 Polyporaceae 8 14 6.70 蜡蘑属 Laccaria 5 2.39
红菇科 Russulaceae 3 23 11.00 小皮伞属 Marasmius 6 2.87
小菇属 Mycena 11 5.26
光柄菇属 Pluteus 5 2.39
红菇属 Russula 17 8.13
栓菌属 Trametes 5 2.39
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