Decoding breast cancer imaging trends: the role of AI and radiomics through bibliometric insights.

ABSTRACT:

Background

Radiomics and AI have been widely used in breast cancer imaging, but a comprehensive systematic analysis is lacking. Therefore, this study aims to conduct a bibliometrics analysis in this field to discuss its research status and frontier hotspots and provide a reference for subsequent research.

Methods

Publications related to AI, radiomics, and breast cancer imaging were searched in the Web of Science Core Collection. CiteSpace plotted the relevant co-occurrence network according to authors and keywords. VOSviewer and Pajek were used to draw relevant co-occurrence maps according to country and institution. In addition, R was used to conduct bibliometric analysis of relevant authors, countries/regions, journals, keywords, and annual publications and citations based

SUBMITTER: Wu X 

PROVIDER: S-EPMC11863798 | biostudies-literature | 2025 Feb

REPOSITORIES: biostudies-literature