Xiajing Lou

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About

Xiajing Lou is at the forefront of integrating artificial intelligence into medical education, with a particular focus on the transformative potential of large language models (LLMs). Her key research areas span AI-driven pedagogy, virtual patient simulation, and the ethical deployment of emerging technologies in clinical training. Lou’s most notable contribution is her pioneering scoping review, “Embracing the Future of Medical Education With Large Language Model–Based Virtual Patients,” which systematically analyzes the current applications and research landscape of LLM-powered simulations. This work, already cited 11 times since its 2025 publication, provides a critical framework for understanding how generative AI can create dynamic, interactive learning environments that surpass traditional static case studies. By mapping the opportunities and challenges of LLM-based virtual patients, Lou has established herself as a leading voice in the conversation around next-generation medical training. Her research not only highlights the potential for personalized, scalable education but also underscores the need for rigorous evaluation and ethical safeguards. For students and researchers exploring the intersection of AI and healthcare pedagogy, Lou’s work offers both a foundational resource and a forward-looking roadmap for innovation.