Evolution of artificial intelligence in breast cancer pathology: a bibliometric analysis
Junjie Li, Lei He, Jun Du, Di Cui, Zhengxian Chen, Dongge Liu · 2026
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Description
Junjie Li and colleagues chart in 2026 the growth of artificial intelligence research in breast cancer pathology through a bibliometric map of 1,089 publications from 2011 to 2025. Output climbed sharply after 2017 and peaked in 2025 within the dataset.
Most items were original articles. Leading contributors were the United States, China, India and the European Union, with the University of Toronto the most productive institution. Topic modelling found fourteen themes, dominated by deep learning for slide image analysis at over half the corpus. Landmark citation and keyword patterns show where new entrants can find crowded ground versus open niches.
Catalog record
| CREATOR | Junjie Li, Lei He, Jun Du, Di Cui, Zhengxian Chen, Dongge Liu |
|---|---|
| YEAR | 2026 |
| COLLECTION | PAPERS |
| FORMAT | TXT |
| FILE SIZE | 58735 |
| LICENSE | https://creativecommons.org/licenses/by/4.0 |
| RIGHTS | CC BY |
| SOURCE | Europe PMC |