AI-driven transformation of precision medicine: a comprehensive narrative review of key application areas, emerging paradigms, and future directions
AI is a key driver of paradigm shift in precision medicine. To address existing challenges, future efforts should focus on generating more robust clinical evidence, adopting technologies like federated learning to ensure data privacy, and promoting the human-centered, collaborative framework of Symbiotic AI (SAI). By establishing sound ethical and governance structures, the deployment of AI technologies can be ensured to be not only efficient and advanced but also equitable and trustworthy, ultimately paving the way for an intelligent and inclusive healthcare ecosystem.
Authors
- Jun Zhu (ORCID: https://orcid.org/0000-0003-0834-8178)
- Qin Zeng
- Cheng Huang
Institutions
- China National Nuclear Corporation (CN)
- Sichuan University (CN)
- West China Second University Hospital of Sichuan University (CN)
Publication Details
- Journal
- Frontiers in Public Health
- Published
- 2026-01-08
- DOI
- https://doi.org/10.3389/fpubh.2025.1656603
- Citations
- 1
- Primary Topic
- Artificial Intelligence in Healthcare and Education
- Type
- article
- Field-Weighted Citation Impact
- 17.70