Wenhao Qi

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About

Wenhao Qi is a forward-looking 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, "Embracing the Future of Medical Education With Large Language Model–Based Virtual Patients: Scoping Review" (2025, 11 citations), provides a comprehensive analysis of how LLM-driven virtual patients are reshaping simulation-based learning. In this landmark review, Qi systematically maps the emerging landscape of AI-powered patient interactions, identifying key applications, pedagogical benefits, and implementation challenges. His contribution is pivotal: by synthesizing early evidence and outlining future research directions, he has established a foundational framework for educators and technologists seeking to integrate conversational AI into medical curricula. Qi’s work highlights the potential of LLMs to create dynamic, responsive virtual patients that offer scalable, personalized practice for diagnostic and communication skills. As this field rapidly evolves, his scoping review serves as an essential reference, demonstrating his role in bridging cutting-edge AI with practical educational needs. With a clear vision for the future of healthcare training, Wenhao Qi is helping to define how tomorrow’s doctors will learn through intelligent, interactive simulations.