多维度医学教学模型的创新与应用进展OA

The convergence of 3D printing,virtual/augmented reality,and biosensing technologies has transformed medical teaching models from static anatomical displays into multi-dimensional platforms capable of dynamic functional simulation and pathological progression recapitulation.This review systematically examines high-quality studies from three key perspectives—technological integration,functional advancement,and disciplinary coverage—aiming to clarify innovative applications and educational effectiveness in both preclinical and clinical settings.Mounting evidence indicates that these novel models significantly improve students'comprehension and retention of anatomical structures,physiological mechanisms,and disease processes,while also enhancing procedural accuracy,shortening learning curves,and boosting clinical competence.Nevertheless,challenges persist,including material performance constraints,a lack of standardized protocols,and cost-effectiveness imbalances that hinder widespread adoption.Future directions should prioritize intelligent models that integrate"structure-function-metabolism"linkages,hybrid training systems combining physical and virtual environments,affordable high-fidelity simulators,and the establishment of multi-center collaborative validation frameworks with interdisciplinary governance.These efforts will provide empirical evidence and strategic guidance for optimizing medical education resource allocation and facilitating broader technological adoption among the medical training institutions.