Xiaohong Zhu

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About

Xiaohong Zhu is a pioneering researcher at the intersection of artificial intelligence and medical education, with a primary focus on the transformative potential of large language models (LLMs) in clinical training. Their most cited work, "Embracing the Future of Medical Education With Large Language Model–Based Virtual Patients: Scoping Review" (2025, 11 citations), represents a landmark contribution that systematically maps the emerging landscape of LLM-driven virtual patient simulations. In this comprehensive review, Zhu critically analyzes current applications, identifies key research gaps, and establishes a foundational framework for integrating conversational AI into medical curricula. By synthesizing early evidence on how LLMs can create dynamic, responsive virtual patients for diagnostic and communication training, Zhu's work directly addresses the pressing need for scalable, interactive learning tools in healthcare education. This scoping review has quickly become a reference point for educators and technologists exploring AI-enhanced pedagogy, demonstrating Zhu's ability to identify and articulate paradigm-shifting trends. Through their rigorous analysis, Xiaohong Zhu is helping to shape how future physicians will train with intelligent, adaptive virtual patients, positioning them as a leading voice in the digital transformation of medical education.