Quantitative evaluation and optimization of AI policy and regulatory texts for smart healthcare
The study utilizes the PMC policy standardization assessment to identify policy issues and provides differentiated design references based on regional differences, offering crucial support for the collaborative improvement, scientific construction, and global AI governance optimization of the international AI policy framework.
Institutions
- Xuzhou Medical College (CN)
Publication Details
- Journal
- Frontiers in Public Health
- Published
- 2025-12-12
- DOI
- https://doi.org/10.3389/fpubh.2025.1731013
- Primary Topic
- Artificial Intelligence in Healthcare and Education
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- National Natural Science Foundation of China
- Jiangsu University
- Government of Jiangsu Province
- Social Science Foundation of Jiangsu Province