Papers
1
Total Citations
6
H-Index
1
About
Xinyin Hu is a leading researcher at the intersection of traditional Chinese medicine (TCM) and artificial intelligence, with a primary focus on modernizing TCM through AI-driven integration. Their most-cited work, a 2025 national survey on improving TCM-AI integration, has already garnered 6 citations, reflecting its timely impact. This study assessed medical staff attitudes and perceptions, revealing critical barriers and opportunities for AI adoption in TCM practice—a foundational contribution to the field. Hu’s research addresses the urgent need for AI to support the inheritance and innovation of TCM, bridging ancient wisdom with cutting-edge technology. By identifying key factors that influence medical professionals’ acceptance of AI tools, their work provides actionable insights for policymakers and technologists. Hu’s achievements include pioneering survey methodologies tailored to the unique context of TCM, setting a benchmark for future studies. Their research not only advances academic discourse but also has practical implications for improving patient care and clinical decision-making. As a rising voice in digital health, Hu continues to shape how AI can respectfully and effectively enhance traditional medical systems.
Research Focus
Key Achievements
Top Papers
- 1