Artificial intelligence in head and neck cancer: a bibliometric and visualization analysis (1995–2025)
In the future, AI applications in HNCs are expected to further enhance diagnostic and therapeutic strategies. Strengthening interdisciplinary collaboration is essential to translate AI algorithms into comprehensive, end-to-end clinical applications. Such integration will optimize the entire care pathway for head and neck cancer patients.
Authors
- Zachary Drew (ORCID: https://orcid.org/0000-0003-1277-4524)
- Chunshu Pan
- Kai Li (ORCID: https://orcid.org/0000-0002-7264-365X)
- Xiaohui Wang (ORCID: https://orcid.org/0009-0000-8287-8711)
- Guoping Chen (ORCID: https://orcid.org/0000-0001-8157-4687)
- Qi Dai (ORCID: https://orcid.org/0000-0003-1343-1494)
- Jingfeng Zhang (ORCID: https://orcid.org/0000-0002-2473-6106)
- Chuyi Cai (ORCID: https://orcid.org/0009-0004-2355-6826)
Institutions
- Royal Brisbane and Women's Hospital (AU)
- Ningbo No. 2 Hospital (CN)
- Ningbo No.6 Hospital (CN)
Publication Details
- Journal
- Discover Oncology
- Published
- 2025-11-24
- DOI
- https://doi.org/10.1007/s12672-025-03992-0
- Primary Topic
- Artificial Intelligence in Healthcare and Education
- Type
- article
- Field-Weighted Citation Impact
- 0.00