Lisi Wang
Papers
1
Total Citations
6
H-Index
1
About
Lisi Wang is a leading researcher at the intersection of traditional Chinese medicine (TCM) and artificial intelligence, a field where her work is shaping the future of integrative healthcare. Her most-cited study, a 2025 national survey of medical staff, directly addresses the critical challenge of modernizing TCM through AI, revealing both the potential and the practical barriers to adoption. By systematically analyzing the attitudes and perceptions of frontline practitioners, Wang’s research provides an evidence-based roadmap for integrating AI tools into TCM diagnosis, treatment, and education. This work, already garnering early citations, highlights her unique ability to bridge ancient medical wisdom with cutting-edge technology. Wang’s contributions are vital for ensuring that AI enhances—rather than replaces—the holistic, personalized approach of TCM. Her findings are informing policy discussions and curriculum development, positioning her as a key voice in the digital transformation of traditional medicine. For students and researchers, Wang’s work exemplifies how to conduct impactful, cross-disciplinary research that respects heritage while embracing innovation.
Research Focus
Key Achievements
Top Papers
- 1