摘要
人工智能技术在医疗领域的应用渗透正在加速,应用场景愈发丰富。基于智能医疗专利数据,利用LDA主题模型对智能医疗产业应用场景进行识别,以53581件智能医疗专利为源数据,挖掘得到智能医疗产业的12个应用场景主题,识别出智能诊疗、医疗机器人、药物研发、智能医学影像、智能健康管理五大主要应用场景,并从“技术—市场—政策”3个维度开展场景驱动视角下我国智能医疗产业演化过程分析。研究发现:①在技术方面,智能医疗技术处于不断创新和发展阶段,我国在各应用场景下均有研发布局;②在市场方面,国内外不同类型企业对智能医疗五大应用场景进行积极探索,我国智能医疗市场规模逐年扩大,前景广阔,但处于早期发展阶段;③在政策方面,我国尝试利用多种政策工具全方位支持智能医疗产业发展,但不同应用场景政策倾斜力度不同。研究结论可为我国智能医疗产业规划和政策制定提供数据参考与决策支撑。
As a major innovation in the field of science and technology,artificial intelligence plays an important role in alleviating the social pressures brought by population aging and insufficient resources,meeting the national requirements for sustainable development,and improving the efficiency of economic structural transformation and upgrading.It is a historic strategic opportunity that cannot be ignored.Artificial intelligence is regarded as the main development direction of national information technology and the Chinese government is making every effort to integrate artificial intelligence technology with real economy development.Additionally,the government strongly proposes to actively explore and continuously develop the opportunities of artificial intelligence application scenarios and create significant scenarios in the medical field,with a more intelligent city and a more intimate society as the guide.In recent years,domestic and foreign technology enterprises,traditional medical device providers,and related scientific research teams are actively promoting the intelligent upgrade of the medical and health industry to provide more efficient and convenient services for patients,medical practitioners,medical institutions,and medical research teams.Since 2020,intelligent medical products and services have provided important support and guarantees for epidemic prevention,control and vaccine research.As a result,the penetration of artificial intelligence technology in the medical field is accelerating,and the application scenarios are becoming more diverse.A comprehensive review of existing relevant studies shows that the research achievements of scenario-driven innovation and the intelligent medical industry have been continuously enriched in recent years,but the intelligent medical industry is still in its infancy.As an emerging industry,the intelligent medical industry lacks systematic identification and industry analysis based on scenario-themed classification processing.It is conducive to a better understanding of the development of this industry and figuring out potential opportunities and challenges to identify the application scenarios of the industry from three dimensions of technology,market and policy.Therefore,by taking 53581 intelligent medical patents as the source data and using the LDA thematic model to identify the application scenarios of the intelligent medical industry,this paper explores the evolution of China's intelligent medical industry in the three dimensions by combining the results of application scenario recognition and conducting an analysis framework of industry evolution.It first introduces the technological evolution of the intelligent medical industry through the analysis of patents and technologies.Second,it clarifies the market analysis from the perspective of market scale and application scenarios,showing China's current situation in every aspect of intelligent medicine.Third,it illustrates the domestic policy related to the intelligent medical industry,presenting the concern and attention to the development of this cutting-edge industry at the national level.In conclusion,this study discovers 12 application scenarios of the intelligent medical industry,and identifies 5 major application scenarios based on the theme meanings and the industry's current status,including intelligent diagnosis and treatment,medical robots,drug development,intelligent medical imaging,and intelligent health management.In terms of technology,intelligent medical technology is in a stage of continuous innovation and development,and China's key research and development directions are laid out in various application fields.In terms of the market,different types of enterprises at home and abroad have actively explored the five application scenarios of the industry with different focuses.The market scale is gradually expanding,but the products and medical solutions are still in the stage of scenario testing.In terms of policies,China has tried to use a variety of policy tools to comprehensively support the development of the intelligent medical industry in an all-round way.However,there are degree differences in the policy support in different application scenarios.This paper enriches the current research on intelligent medical application scenario identification and industrial evolution,and puts forward some countermeasures and suggestions for the future development of the industry.Meanwhile,it provides data reference and decision-making support for China's intelligent medical industry planning and policymaking in the future.
作者
叶选挺
马诗敏
王宇
李京晏
张剑
Ye Xuanting;Ma Shimin;Wang Yu;Li Jingyan;Zhang Jian(School of Management and Economics,Beijing Institute of Technology;School of Global Governance,Beijing Institute of Technology,Beijing 100081,China;School of Public Affairs,Zhejiang University,Hangzhou 310030,China;School of Government Management,Central University of Finance and Economics,Beijing 100081,China)
出处
《科技进步与对策》
CSSCI
北大核心
2023年第24期20-30,共11页
Science & Technology Progress and Policy
基金
国家自然科学基金面上项目(72074023,72074239)
北京市社会科学基金重点项目(21DTR054)
中央高校基本科研业务费专项资金项目(021250323001)。
关键词
场景驱动
场景识别
智能医疗
产业演化
Scenario-driven
Scene Recognition
Intelligent Medical Industry
Industrial Evolution
