Exploring the growth and impact of artificial intelligence in anesthesiology: a bibliometric study from 2004 to 2024
AI in anesthesiology is entering a phase of rapid interdisciplinary expansion, integrating clinical needs with computational innovation. Future research should prioritize the clinical validation of AI tools, foster stronger collaboration between computer scientists and anesthesiologists, and address unresolved translational gaps such as model interpretability and cross-modal data fusion.
Authors
- Xinping Yang (ORCID: https://orcid.org/0000-0003-4086-4180)
- Keke Liu (ORCID: https://orcid.org/0000-0003-2222-5940)
- Qiu Weicheng
Institutions
- Shenzhen Second People's Hospital (CN)
Publication Details
- Journal
- Frontiers in Medicine
- Published
- 2025-06-02
- DOI
- https://doi.org/10.3389/fmed.2025.1595060
- Citations
- 4
- Primary Topic
- Artificial Intelligence in Healthcare and Education
- Type
- article
- Field-Weighted Citation Impact
- 2.62
Funders
- Sanming Project of Medicine in Shenzhen