Abstract
Cardiovascular diseases (CVDs) persistently impose a substantial global health burden, highlighting the necessity for innovative approaches to their prevention, diagnosis, and treatment. This paper accentuates the close correlation between vascular health and CVDs. To address unmet clinical demands for the early and efficient management of CVDs, we emphasize the potential of engineering medicine and propose the concept of cardiovascular information and health engineering medicine (CVIHEM), delineating its objectives and framework for collecting, analyzing, and translating multidimensional vascular data into practical strategies. By systematically and efficiently acquiring and translating vascular information through multidisciplinary collaboration, CVIHEM enhances our understanding of the vascular network and provides innovative strategies for promoting vascular health. This approach encompasses a range of applications, such as artificial intelligence-driven decision-making, targeted therapy, and vascular health management, ultimately improving vascular health and clinical outcomes.