共现网络与主题挖掘视角下的医疗机器人产业技术创新发展研究  

Research on the Development of Technological Innovation in the Medical Robot Industry from the Perspectives of Co-Occurring Networks and Topic Mining

作　　者：楼杨雯 姜军[1] 武兰芬[1] LOU Yangwen;JIANG Jun;WU Lanfen(School of Intellectual Property,Nanjing University of Science and Technology,Nanjing 210094)

机构地区：[1]南京理工大学知识产权学院,南京210094

出　　处：《中国发明与专利》2025年第4期4-12,共9页China Invention & Patent

基　　金：中央高校基本科研业务费专项资金资助项目“新质生产力发展视域下多源数据驱动的突破性技术识别与预测研究”(编号:30924010604)的研究成果之一。

摘　　要：[目的/意义]近年来,医疗机器人产业取得迅猛发展,深入理解并准确把握医疗机器人技术创新发展趋势对促进产业可持续发展及增强竞争力具有重要意义。[方法/过程]本文从共现网络和主题挖掘双重视角,基于专利数据,揭示医疗机器人产业2010—2024年间技术创新发展趋势,并尝试探讨不同视角下医疗机器人产业技术创新发展变化的异同关系。[结果/结论]研究发现,在宏观和细粒度语义层面上,医疗机器人产业技术创新主题变化趋势呈现出互相关联的特征。跨维度数据分析结果揭示了知识流动的趋同特征,为产业关键技术的预测提供新的视角,基于此可有效提高产业技术创新方向预测的效率和准确性。[Purpose/Significance]In recent years,the medical robot industry has achieved rapid development.A deep understanding and accurate grasp of the trend of innovative development in medical robot technology is of great significance for promoting sustainable development and enhancing competitiveness of the industry.[Method/Process]The development trend of technological innovation in the medical robot industry from 2010 to 2024 is revealed,based on patent data from the dual perspectives of co-occurrence networks and topic mining.The similarities and differences in the development and changes of technological innovation in the medical robot industry are explored from different perspectives.[Result/Conclusion]It has been found that at both macro and fine-grained semantic levels,the trend of technological innovation themes in the medical robotics industry exhibits interrelated characteristics.The results of cross dimensional data analysis reveal the convergence characteristics of knowledge flow,providing a new perspective for predicting key technologies in industries.Based on this,the efficiency and accuracy of predicting the direction of industrial technological innovation can be effectively improved.

关 键 词：共现网络 主题模型 医疗机器人 技术创新发展 

分 类 号：G353.1[文化科学—情报学] R318[医药卫生—生物医学工程] TP242[医药卫生—基础医学]