Knowledge map of artificial intelligence applied in forensic medicine
10.13618/j.issn.1001-5728.2023.06.009
- VernacularTitle:人工智能在法医学领域应用研究的知识图谱
- Author:
Yucong WANG
1
,
2
;
Chang LI
;
Xuan WEI
;
Mengzhou ZHANG
;
Dong ZHAO
;
Xu WANG
;
Tiantong YANG
Author Information
1. 中国政法大学 证据科学教育部重点实验室,北京 100088
2. 司法文明协同创新中心,北京 100088
- Keywords:
Forensic medicine;
Artificial intelligence;
Biblimetrics;
Knowledge map;
Citespace
- From:
Chinese Journal of Forensic Medicine
2023;38(6):648-653,663
- CountryChina
- Language:Chinese
-
Abstract:
Objective To conduct a comprehensive visual analysis of the application of Artificial Intelligence(AI)in forensic medicine using bibliometric tools so as to create knowledge maps of cooperation network,research hotspots,important findings,and potential future trends in this field.Methods The Web of Science(WoSCC)was utilized as the primary data source,search formula incorporating AI and forensic medicine as core subject words was constructed,resulting in a dataset comprising 2 287 literature records.Vosviewer,Citespace,and Bibliometrix were employed for analyzing various aspects such as cooperation network,keyword co-occurrence networks,clustering dynamics,clusters,centrality degree and thematic strategic coordinate charts.These analyses facilitated the creation of corresponding visual maps.Results The collaboration among authors still requires further strengthening;however significant groups have emerged among institutions and countries.Research hotspots and important findings predominantly revolve around algorithmic applications.Furthermore,"identification"related research appears to become a prominent future research trend.Conclusion By employing bibliometric analysis techniques on the application of artificial intelligence in forensic medicine domain,this study successfully elucidats cooperation networks,research hotspots,important findings,future research directions,and provides objective support through empirical evidence for related studies.
