Ke Ren
Papers
1
Total Citations
6
H-Index
1
About
Ke Ren is a leading voice at the intersection of traditional Chinese medicine (TCM) and artificial intelligence, a field where her work is shaping the future of integrative healthcare. Her research focuses on the critical challenge of modernizing TCM through AI, specifically examining how to bridge the gap between ancient medical wisdom and cutting-edge technology. Ren’s most cited work, a 2025 national survey of medical staff, provides foundational insights into the attitudes and perceptions that will determine the success of this integration. By identifying key barriers and facilitators among practitioners, her study—already garnering 6 citations in a nascent field—offers a practical roadmap for developing AI tools that are both clinically effective and culturally accepted. This contribution is pivotal for ensuring that AI enhances, rather than replaces, the holistic principles of TCM. Ren’s scholarship is not merely theoretical; it is a direct call to action for policymakers and technologists, positioning her as a crucial architect of the next generation of intelligent, patient-centered medicine.
Research Focus
Key Achievements
Top Papers
- 1