中国医学科学院学报2025，Vol.47Issue(4)：590-600,11.DOI:10.3881/j.issn.1000-503X.16324
甲状腺结节智能超声图像诊断的文献计量学分析
Bibliometric Analysis of Intelligent Ultrasound Imaging in the Diagnosis of Thyroid Nodules
李杨 1王建林 2马姣姣 3孙哲 4张波3
作者信息
- 1. 北京化工大学信息科学与技术学院,北京 100029||中日友好医院超声医学科,北京 100029
- 2. 北京化工大学信息科学与技术学院,北京 100029
- 3. 中日友好医院超声医学科,北京 100029||国家呼吸医学中心 呼吸和共病全国重点实验室 国家呼吸疾病临床研究中心中国医学科学院呼吸病学研究院 中日友好医院呼吸中心,北京 100029
- 4. 中日友好医院超声医学科,北京 100029
- 折叠
摘要
Abstract
Objective To explore the research progress and hotspots of intelligent ultrasound ima-ging in the diagnosis of thyroid nodules and clarify the research directions via the bibliometric meth-od.Methods The relevant research articles on intelligent ultrasound imaging in the diagnosis of thyroid nodules were retrieved from the Web of Science Core Collection,covering the period from January 2004 to August 2024.Python was used to analyze the number of annual publications.VOSviewer was used to create the co-occurrence network of authors and the keyword density map.CiteSpace was used to demonstrate the dual-map overlays of the journals,as well as the bursts and clustering of co-citations and keywords.Results A total of 1 179 articles were included.The annual number of publications increased steadily.The involved journals demonstrated high quality,and the publications showed a trend of cross-research.Chinese research-ers were the core research force in this field.Haugen et al.'s study on the guidelines for thyroid nodules had the most citations.The clustering of co-citations and keywords indicated studies in multiple fields.Thyroid nodules,cancer,and deep learning were the representative keywords in this field.Conclusions The con-tinuous enrichment of research topics promotes the rapid development of intelligent ultrasound imaging for thyroid nodules.Intelligent diagnosis methods based on deep learning can provide diagnostic suggestions,while there are still challenges such as interpretation.One of the research directions is the deep combination of intelligent diagnosis algorithms and medical knowledge.关键词
甲状腺结节/智能诊断/超声图像/文献计量学Key words
thyroid nodules/intelligent diagnosis/ultrasound images/bibliometrics分类
医药卫生引用本文复制引用
李杨,王建林,马姣姣,孙哲,张波..甲状腺结节智能超声图像诊断的文献计量学分析[J].中国医学科学院学报,2025,47(4):590-600,11.
