Trends of artificial intelligence in breast cancer
A bibliometric and altmetric analysis from 2013 to 2024
Bibliographic Data
| ID | 15217900 |
|---|---|
| Authors | Hossein VakiliMofrad (0000-0002-8200-2629, Department of Medical Library and Information, Faculty of Paramedicine, Hamadan University of Medical Sciences), Razieh Movlaie (0009-0009-9042-6825, Department of Medical Library and Information, Faculty of Paramedicine, Hamadan University of Medical Sciences), Maryam Zarghani (0000-0002-8702-1298, Document Center and Central Library, Medical Information Management, Hamadan University of Medical Sciences, corresponding author), Arezoo Ghamghosar (0000-0001-8805-0325, Guilan University of Medical Sciences, corresponding author) |
| Year | 2026 |
| Volume | 47 |
| Issue | 2 |
| Pages | 1-18 |
| Publication date | 2026-01-06 |
| Open Access | No |
| Type | ARTICLE |
| Venue | Health Care For Women International (JOURNAL) |
| Journal identifiers | ISSN: 0739-9332 • E-ISSN: 1096-4665 |
| Publisher | Taylor & Francis (PUBLISHER • GB) |
| DOI | 10.1080/07399332.2025.2597244 |
| PMID | 41493313 |
| OpenAlex | W7118873360 |
| Language | EN |
| References cited | 39 |
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
Altmetrics · Applications of artificial intelligence · Bibliometrics · Field (mathematics · Societal impact of nanotechnology · Web of science · AI in cancer detection · Artificial Intelligence in Healthcare and Education · Radiomics and Machine Learning in Medical Imaging
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| Highly cited | No |
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