From German Innovation to Chinese Application: AI/VR Strategies for Medical Education in Underdeveloped Regions

The rapid adoption of Artificial Intelligence (AI) and Virtual Reality (VR) technologies has profoundly transformed medical education globally, enabling immersive skill training and data-driven competency assessment. Germany systematically integrates AI/VR tools as a pioneer in this field. Institutions like Heidelberg University's Virtual Anatomy Lab utilize AI-driven platforms to significantly improve surgical skill retention, while nationwide VR training networks reduce clinical errors through immersive rehearsal environments. Despite advancements in top-tier urban medical schools in China, AI/VR implementation remains fragmented in underdeveloped regions. Key barriers include inadequate hardware accessibility, limited instructor expertise, and a mismatch between imported technologies and local healthcare priorities. To address these disparities, this study proposes a three-tier strategy informed by Germany's experience: Optimize German VR tools for low-resource settings through lightweight AI models, offline functionality, and multilingual interfaces tailored to China's ethnic minority needs; Establish joint labs to co-develop curricula focused on rural health priorities (e.g., trauma care, infectious disease management) and build cross-provincial medical education cloud platforms for resource sharing; Align China's “Smart Education” subsidies with tiered teacher certification programs and incentivize public-private partnerships to sustain technology deployment. By integrating Germany's expertise in distributed networks and industry-academia collaboration with China's contextual demands, this framework aims to democratize AI/VR-driven medical education and foster equitable healthcare workforce development across regions.