Patent Analysis for Identifying Core Technology and Forecasting Promising Technology in Medical Imaging Equipment

IF 4.6 3区 管理学 Q1 BUSINESS
Zhiguo Cai;Yang Zhou;Yi Xu;Zhiying Liu
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引用次数: 0

Abstract

Medical imaging equipment (MIE) is regarded as a crucial facility in the 21st century. Its noninvasive and safe nature in providing diagnostic images or guiding treatments has garnered significant attention from global health organizations. Unfortunately, there is a lack of research on core and promising technologies in MIE, resulting in insufficient information for government investment decision-making. To address this research gap, this article presents a three-stage patent mining framework. First, patents are scored using the entropy-weight and technique for order preference by similarity to an ideal solution method. Then, the LDA model is applied to identify core technology in MIE based on topic intensity and average patent scores within each topic. Among the identified core technologies, the novelty calculation further confirms that “endoscopy” and “radiation therapy” are promising technologies in medical imaging. Last, the article discusses the distribution and competition landscape of each technology across countries. The findings of this article offer guidance for government investments in MIE and provide data support for decision-making by research and development institutions.
用于识别医疗成像设备核心技术和预测前景技术的专利分析
医学成像设备(MIE)被视为 21 世纪的重要设施。它在提供诊断图像或指导治疗方面的非侵入性和安全性赢得了全球卫生组织的极大关注。遗憾的是,目前缺乏对 MIE 核心技术和前景看好技术的研究,导致政府投资决策信息不足。针对这一研究空白,本文提出了一个三阶段专利挖掘框架。首先,采用熵权法和与理想解相似度排序偏好技术对专利进行评分。然后,根据每个主题内的主题强度和平均专利得分,应用 LDA 模型识别 MIE 中的核心技术。在确定的核心技术中,新颖性计算进一步证实了 "内窥镜检查 "和 "放射治疗 "是医学影像领域具有发展前景的技术。最后,文章讨论了每项技术在各国的分布和竞争格局。本文的研究结果为政府在医学影像技术领域的投资提供了指导,也为研发机构的决策提供了数据支持。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
IEEE Transactions on Engineering Management
IEEE Transactions on Engineering Management 管理科学-工程:工业
CiteScore
10.30
自引率
19.00%
发文量
604
审稿时长
5.3 months
期刊介绍: Management of technical functions such as research, development, and engineering in industry, government, university, and other settings. Emphasis is on studies carried on within an organization to help in decision making or policy formation for RD&E.
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