International Journal of Medicine and Data

In the era of rapid development of digital intelligence technologies, physiology education faces dual challenges from the limitations of traditional experimental teaching and the demand for high-quality medical education. This paper conducts an in-depth study on digital intelligence-driven virtual simulation teaching in physiology, analyzing its integration logic, innovative models, and practical approaches. By exploring the intrinsic compatibility between digital intelligence technologies and virtual simulation teaching in physiology, we propose a new teaching model based on intelligent perception, data-driven methods, and virtual-real integration. The paper elaborates on practical strategies including intelligent modeling, personalized learning path construction, and collaborative experimental scenario development.

Digital intelligence; Physiology; Virtual simulation teaching; Teaching model; Practical approach; Medical education