Guowei Jiang
Papers
1
Total Citations
11
H-Index
1
About
Guowei Jiang is a forward-thinking researcher at the intersection of artificial intelligence and medical education, with a primary focus on leveraging large language models (LLMs) to transform clinical training. His most cited work, a 2025 scoping review titled "Embracing the Future of Medical Education With Large Language Model–Based Virtual Patients," systematically analyzes the emerging applications of LLM-driven virtual patients for simulation-based learning. This paper, which has already garnered 11 citations shortly after publication, establishes Jiang as a key voice in evaluating how AI can create more realistic, interactive, and scalable educational tools for healthcare trainees. By mapping current implementations and identifying research gaps, his contribution provides a critical foundation for educators and technologists seeking to integrate conversational AI into curricula. Jiang’s work underscores a pivotal shift toward personalized, on-demand virtual patient interactions, promising to enhance diagnostic reasoning and communication skills. His research not only highlights the potential of LLMs to address traditional simulation limitations—such as cost and accessibility—but also sets the stage for future innovations in adaptive learning environments. For students and researchers, Jiang offers a clear roadmap into the rapidly evolving field of AI-enhanced medical pedagogy.
Research Focus
Key Achievements
Top Papers
- 1