通讯作者: 施子文, shiziwen1990@163.com

DOI：10.12201/bmr.202601.00084

Visualization analysis of artificial intelligence in thyroid disease research at home and abroad based on CiteSpace

• 摘要：目的 分析近十年人工智能（artificial intelligence，AI）在甲状腺疾病领域的研究趋势、合作网络及热点演变。方法 检索中国知网、万方数据知识服务平台、维普网及Web of Science核心合集数据库中2015年1月至2025年12月相关文献，采用CiteSpace 6.4.R1软件进行发文量、作者合作、机构分布、关键词的可视化分析。用文献计量学在线分析平台进行国家合作关系分析。结果 共纳入1741篇文献（中文742篇，英文999篇）。2019年后发文量快速增长，中国发文量居首。国内外合作网络较为稀疏，国内以机构内部合作为主。研究热点国内集中于深度学习与超声图像的甲状腺结节良恶性鉴别，国外则更关注超声影像与机器学习驱动的甲状腺癌诊断及分子诊断融合。突现分析显示，国内近年关注迁移学习、弹性成像等技术，国外持续强化分类准确性及计算机辅助诊断。结论 AI在甲状腺疾病领域发展迅速，国内外研究各有侧重，未来应加强跨机构合作、高质量数据建设及临床转化验证。

  关键词： 人工智能; 甲状腺疾病; 文献计量学; 可视化分析; CiteSpace

   

  Abstract: Objective To analyze the research trends, collaboration networks, and evolution of hotspots in the field of artificial intelligence (AI) applied to thyroid diseases over the past decade.?Methods?Relevant literature published from January 2015 to December 2025 was retrieved from databases including China National Knowledge Infrastructure (CNKI), Wanfang Data Knowledge Service Platform, VIP, and Web of Science Core Collection. The visualization of publication volume, author collaboration, institutional distribution, and keywords was conducted using CiteSpace 6.4.R1 software.?A national cooperation network analysis was conducted using a bibliometric online analysis platform.Results?A total of 1,741 publications were included (742 in Chinese and 999 in English). After 2019, the publication volume increased rapidly, with China leading in terms of research output. Collaboration networks both domestically and internationally were relatively sparse, and domestic research was primarily characterized by intra-institutional cooperation. Research hotspots in China focused on the application of deep learning combined with ultrasound imaging for the benign-malignant differentiation of thyroid nodules, while international research emphasized ultrasound imaging and machine learning-driven diagnosis of thyroid cancer and its integration with molecular diagnostics. Burst analysis showed that recent domestic research has increasingly focused on technologies such as transfer learning and elastography, whereas international research continues to strengthen classification accuracy and computer-aided diagnosis.?Conclusion?AI has advanced rapidly in the field of thyroid diseases, with distinct emphases in domestic and international research. Future efforts should enhance cross-institutional collaboration, improve the construction of high-quality datasets, and advance clinical translation and validation.

  Key words: Artificial Intelligence; Thyroid Diseases; Bibliometrics; Visualization Analysis; CiteSpace

  提交时间：2026-01-29

  版权声明：作者本人独立拥有该论文的版权，预印本系统仅拥有论文的永久保存权利。任何人未经允许不得重复使用。
• html

• 图表

• 郑明星, 张希, 吴文松, 周子洋, 刘畅, 陈方敏. 国内基于CiteSpace有关胡桃夹综合征的文献计量学及可视化分析. 2026. doi: 10.12201/bmr.202601.00083

  胡超海, 冯俊凯, 汪翼凡. 基于文献计量学和知识图谱的中医药治疗骨结核可视化分析. 2025. doi: 10.12201/bmr.202501.00039

  董建萍, 江月霞, 李佳滟, 王为, 张波. 基于Citespace的火针治疗膝骨性关节炎的可视化分析. 2025. doi: 10.12201/bmr.202511.00089

  孔娜娜. 基于CiteSpace的国内外医院韧性研究进展. 2025. doi: 10.12201/bmr.202512.00024

  李倩倩, 马紫阳, 方向明, 郭倩, 汪堃, 吴鹏, 叶卫东, 张越, 袁亚美. 基于CiteSpace和VOSviewer中医药治疗哮喘的可视化分析. 2025. doi: 10.12201/bmr.202506.00055

  葛立富, 顾颖杰. 基于CiteSpace可视化分析中医药治疗桥本甲状腺炎研究的进展、热点与趋势. 2025. doi: 10.12201/bmr.202508.00047

  文跃然, 王丹阳, 刘颖. 国内外医院薪酬研究分析对制度设计的启示：基于 Citespace 和 Vosviewer 的文献计量. 2023. doi: 10.12201/bmr.202301.00004

  哈力木拉提·买买提, 马翔. “人工智能+医疗卫生”背景下心音与心血管疾病的研究进展. 2026. doi: 10.12201/bmr.202601.00055

  张嘉琦, 陈卉. 国内神经外科手术机器人研究与应用的文献可视化分析. 2026. doi: 10.12201/bmr.202601.00036

  陈廷婷, 贾楠, 姚顺宇, 何仲. 基于CiteSpace的国内医学生人文素养教育研究可视化图谱分析. 2025. doi: 10.12201/bmr.202511.00015

• 序号	提交日期	编号	操作
  1	2026-01-12	10.12201/bmr.202601.00084V1	下载

• 公开评论  匿名评论  仅发给作者 提交评论