人工智能技术在新冠病毒疫情防控中的应用与思考

The Inspiration of Artificial Intelligence Application in the Prevention and Control of COVID-19 Virus

人工智能作为新一轮科技革命和产业变革的重要驱动力,在新型冠状病毒肺炎疫情防控中发挥了重要作用。为深入探究人工智能技术助力疫情防控的应用成效,明确存在的问题与挑战,进而推动人工智能在突发公共卫生事件应急管理中的深入应用,在广泛调研的基础上,通过对近200个具体案例的梳理、分析,阐述了人工智能在疫情防控、疾病诊疗、社会治理、复工复产四大关键场景下的应用领域、主要功能、核心技术和应用程度,在此基础上揭示了其在数据规模与质量、算法创新、场景深化等方面存在的主要弊端,由此从数据、技术、场景三个维度提出了具体对策建议,以期通过建立与人工智能技术相适配的疫情大数据平台,形成以人工智能为核心的疫情防控“硬核”技术支撑,深化和丰富“智能+”背景下的疫情防控场景应用,进一步提升人工智能技术在此类重大突发公共卫生事件应急管理中的赋能效用。

As an important driving force for a new round of scientific and technological revolution and industrial transformation,artificial intelligence has played an important role in the prevention and control of the COVID-19 virus.The purpose of this research is to deeply explore the effect of artificial intelligence technology in epidemic prevention and control,to identify the existing problems and challenges,and to further promote the in-depth application of artificial intelligence in the management of public health emergencies.Based on an extensive investigation and analysis of nearly 200 specific cases,this paper expounds the application fields,main functions,core technologies and application degree of artificial intelligence in four key scenarios,i.e.epidemic prevention and control,disease diagnosis and treatment,social governance and resumption of work and production.Then it reveals the main shortcomings in the aspects of data scale and quality,algorithm innovation,scene deepening and so on.Therefore,three main countermeasures and suggestions were proposed,from the dimensions of data,technology,and scenario,that is,to establish a big data platform for epidemic diseases which is compatible with artificial intelligence technology,to form a strong epidemic prevention and control technology with artificial intelligence as the core support,and to deepen and enrich the application of epidemic prevention and control scenarios under the background of"AI Plus".