Double clustering analysis of medical artificial intelligence research hotspots
- VernacularTitle:医学人工智能研究热点双聚类分析
- Author:
Jiayi TONG
1
;
Gaigai ZHENG
;
Yu WANG
;
Qiaofang YANG
Author Information
- Keywords: artificial intelligence; telemedicine; research hotspots; Web of Science; double clustering; visual analysis
- From: Journal of Clinical Medicine in Practice 2024;28(3):13-17,22
- CountryChina
- Language:Chinese
- Abstract: Objective To analyze the international research results of artificial intelligence in the medical field by the double clustering method,and to explore the hot trends in the topic field.Meth-ods The Web of Science core collection database was searched for the research literature of artificial intelligence in the field of medicine,and the high-frequency keywords were extracted by Co-Occur-rence13.4 to generate the word matrix.The gCluto1.0 clustering toolkit was used for the double cluster analysis.Results A total of 7 803 articles were included,and the annual number of publications showed an overall upward trend.The United States ranked the first in the total number of publications.A total of 30 high-frequency subject words were extracted to form 6 clusters such as artificial intelli-gence applied to biomarker detection.The research hotspots focused on six topics:health care,disease outcome,whole-course disease monitoring,auxiliary diagnosis of cancer,model validity and differenti-al biomarkers.Conclusion Artificial intelligence has been widely used in clinical diagnosis and treat-ment technology,which provides targeted support for genetic testing and public health events.Howev-er,related domestic research is still in developing stage.In the future,we need to rely on multidisci-plinary and inter-institutional communication and cooperation to promote the development of intelligent medical in China,so that it truly becomes an important tool to promote the development of medical and health services.
