Artificial intelligence in glioma research: a bibliometric analysis of global trends, hotspots, and future directions
AI has become increasingly integrated into glioma research, complementing traditional diagnostic and therapeutic strategies. By highlighting global research patterns and emerging topics, this study provides valuable insights into the evolving landscape of AI applications in gliomas and suggests future directions for clinical translation.
Authors
- Shulei Lou
- Zengwei Kou
- Yunsheng Liu
- Da Shao
Institutions
- Guangzhou University of Chinese Medicine (CN)
- University of Toronto (CA)
- Linyi People's Hospital (CN)
- Shanghai Children's Hospital (CN)
Publication Details
- Journal
- Frontiers in Neurology
- Published
- 2026-01-12
- DOI
- https://doi.org/10.3389/fneur.2025.1701499
- Primary Topic
- Glioma Diagnosis and Treatment
- Type
- article
- Field-Weighted Citation Impact
- 0.00