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Trends of artificial intelligence in breast cancer: A bibliometric and altmetric analysis from 2013 to 2024.

Health care for women international 2026 Vol.47(2) p. 133-150

VakiliMofrad H, Movlaie R, Zarghani M, Ghamghosar A

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The authors of this study used a descriptive-analytical approach to investigate research on artificial intelligence (AI) applications in breast cancer (BC) diagnosis and treatment.

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BibTeX ↓ RIS ↓
APA VakiliMofrad H, Movlaie R, et al. (2026). Trends of artificial intelligence in breast cancer: A bibliometric and altmetric analysis from 2013 to 2024.. Health care for women international, 47(2), 133-150. https://doi.org/10.1080/07399332.2025.2597244
MLA VakiliMofrad H, et al.. "Trends of artificial intelligence in breast cancer: A bibliometric and altmetric analysis from 2013 to 2024.." Health care for women international, vol. 47, no. 2, 2026, pp. 133-150.
PMID 41493313

Abstract

The authors of this study used a descriptive-analytical approach to investigate research on artificial intelligence (AI) applications in breast cancer (BC) diagnosis and treatment. The 4,245 articles published between 2013 and 2024 were examined, drawing data from the Web of Science and Altmetrics Explorer. Geographically, China, the USA, and India lead in research activity, with the USA demonstrating the highest level of international collaboration. A positive correlation between article citations and altmetrics scores, highlighting the impact of these articles beyond academic circles. Our findings suggest a clear integration of AI into BC management, indicating a potential pathway for developing research in AI for BC, which reflects the growing awareness and importance of using AI in addressing this disease. This roadmap can provide guidance for experts in the field and prognostic processes in BC.

MeSH Terms

Humans; Breast Neoplasms; Bibliometrics; Artificial Intelligence; Female