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

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Authors: Hossein Vakilimofrad, Razieh Movlaie, Maryam Zarghani, Arezoo Ghamgosar
Cited by: 0
References: 39

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.

Fields of Study & Subjects

AI in cancer detection Artificial Intelligence in Healthcare and Education Radiomics and Machine Learning in Medical Imaging

Publication details

Journal / source
Health Care For Women International
Volume
47
Issue
2
Pages
133–150
Publication date
6 January 2026
Language
EN