Advancing Anatomy Education Through VR and AI: Integrating Water Management Concepts in Human Physiology Learning

This study investigates the integration of Virtual Reality (VR) and Artificial Intelligence (AI) in anatomy education, with a specific focus on incorporating water management concepts into human physiology learning. Traditional anatomy teaching methods often emphasize structural knowledge without adequately linking physiological processes such as hydration, fluid balance, and renal function. The proposed approach addresses this gap by combining immersive VR environments with AI-driven learning analytics to enhance student engagement, understanding, and performance. The study develops a pedagogical framework that integrates core physiological water management concepts into interactive 3D anatomical models. VR enables visualization and experiential learning, while AI provides personalized feedback, adaptive learning pathways, and performance prediction. This combination allows for a more holistic understanding of human physiology and supports competency-based medical education. The paper also outlines curriculum design strategies, assessment methods, and technological requirements for implementing such systems. While the approach offers significant benefits in terms of engagement and knowledge retention, challenges related to infrastructure, software compatibility, and pedagogical adaptation remain. Overall, the integration of VR, AI, and water management concepts represents a transformative approach to anatomy education, fostering deeper physiological understanding and improving medical training outcomes.