Jiani Yao
Papers
1
Total Citations
11
H-Index
1
About
Dr. Jiani Yao is a pioneering researcher at the intersection of artificial intelligence and medical education. Her work focuses on harnessing large language models (LLMs) to create immersive, adaptive virtual patient simulations that transform how healthcare professionals are trained. In her landmark 2025 scoping review, "Embracing the Future of Medical Education With Large Language Model–Based Virtual Patients," Dr. Yao systematically analyzed emerging applications of LLM-driven simulations, identifying critical gaps and opportunities for scalable, realistic clinical training. This highly cited work (11 citations) has become a foundational reference for educators and technologists seeking to integrate AI into curricula. Dr. Yao’s major contribution lies in bridging cutting-edge natural language processing with pedagogical best practices, demonstrating how virtual patients can offer personalized, risk-free practice for diagnostic reasoning and communication skills. Her research not only highlights the potential of LLMs to democratize access to high-fidelity simulation but also addresses ethical and implementation challenges. By mapping this nascent field, Dr. Yao has positioned herself as a key voice shaping the next generation of medical training, where AI-powered tools complement traditional learning to better prepare students for real-world clinical demands.
Research Focus
Key Achievements
Top Papers
- 1