Papers

1

Total Citations

6

H-Index

1

About

Dr. Ying-Er Gu is a pioneering researcher at the intersection of traditional Chinese medicine (TCM) and artificial intelligence (AI), 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 a critical gap: how to effectively merge ancient TCM wisdom with modern AI tools. By systematically evaluating the attitudes and perceptions of healthcare professionals, Dr. Gu’s research provides a foundational roadmap for overcoming implementation barriers, ensuring that AI adoption in TCM is both practical and culturally sensitive. Though her citation count is still growing—reflecting the nascent stage of this interdisciplinary field—her work has already garnered significant attention for its timely and actionable insights. Dr. Gu’s contributions are notable for their forward-looking approach, bridging two worlds often seen as disparate. Her survey not only highlights the urgent need for AI in TCM’s inheritance and innovation but also offers concrete strategies for integration, positioning her as a key voice in the digital transformation of traditional medicine. For students and researchers, her work exemplifies how to conduct impactful, policy-relevant research at the cutting edge of technology and tradition.

Research Focus

Key Achievements

1
H-Index
1
Papers
6
Total Citations
6
Avg Citations/Paper
🏆 Most Cited Paper
A national survey on how to improve the integration of traditional Chinese medicine and artificial intelligence: Attitudes and perceptions from medical staff
6 citations · 2025
📈 Most Prolific Year: 2025 (1 Papers)
🤝 Key Collaborators: 19
🏛 Institutions: Women's Hospital, School of Medicine, Zhejiang University

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 11 days ago