A bibliometric analysis of artificial intelligence applied to cervical cancer
This bibliometric analysis provides valuable insights into research trends and hotspots, guiding future studies and fostering collaboration to enhance AI applications in cervical cancer.
Authors
- Qiang Huang (ORCID: https://orcid.org/0000-0003-1120-4685)
- Zhen Cheng (ORCID: https://orcid.org/0000-0002-7655-9930)
- Yanming Lin
- Yanli Mo (ORCID: https://orcid.org/0000-0002-7732-0913)
- Wenmei Su
- Yuting Chen (ORCID: https://orcid.org/0000-0002-0262-9721)
- Shujun Li (ORCID: https://orcid.org/0000-0001-5628-7328)
Institutions
- Guangdong Medical College (CN)
Publication Details
- Journal
- Frontiers in Medicine
- Published
- 2025-04-08
- DOI
- https://doi.org/10.3389/fmed.2025.1562818
- Citations
- 2
- Primary Topic
- Radiomics and Machine Learning in Medical Imaging
- Type
- article
- Field-Weighted Citation Impact
- 2.72
Funders
- Zhanjiang Science and Technology Bureau