摘要
阐述了人工智能的发展史及其在我国医疗领域应用的概况,并从新冠肺炎疫情防控的应用场景出发,分析综述了人工智能技术发挥的重要作用,即疫情监测预警、助力研发攻关、阻断感染路径、提高救治效率、提升患者服务和保障后方需求。最后反思了医疗人工智能应用中的主要问题,包括数据基础、算法偏见、标准体系、立法监管等方面,以期为该产业健康发展提供借鉴意义。
This paper firstly expounds the origin,concept of artificial intelligence and its application in medical field in our country.Based on the application scenarios of COVID-19 epidemic prevention and control,this paper summarizes the important functions of artificial intelligence,such as blocking infection epidemic monitoring and early warning,boosting research and development and technological path,improving the efficiency of treatment,improving patient rear service and security requirements.Then it reflects on the main problems in the application of artificial intelligence technology in the medical field after the epidemic,including data basis,algorithm bias,standard system,legislation and supervision,etc.,so as to provide reference for the healthy development of AI industry.
作者
胥婷
于广军
XU Ting;YU Guang-jun(不详;Children's Hospital of Shanghai,Shanghai 200062,P.R.C.)
出处
《中国数字医学》
2020年第6期60-62,73,共4页
China Digital Medicine
基金
国家自然科学基金面上项目(编号:71874110)
国家自然科学基金重大研究计划项目(编号:91846302)
上海交通大学科技创新专项资金新型冠状病毒防治专项(编号:2020RK53)。
关键词
人工智能
新冠肺炎疫情防控
疫情监测
智能防控
artificial intelligence
epidemic prevention and control of COVID-19
epidemic surveillance
intelligent prevention and control
