Cardiovascular diseases (CVD) have emerged as a major disease burden affecting public health both globally and in China. The research and development of innovative technologies for heart and vascular health represent the implementation of whole-life-cycle management for CVD. This approach integrates early detection and reversal strategies with interventional and surgical treatments, establishing a collaborative prevention-diagnosis-treatment-rehabilitation model that bridges tertiary hospitals and community healthcare systems. This initiative implements integrated traditional Chinese-Western medicine strategies for early prevention and rehabilitation of CVD, while promoting the paradigm shift toward primordial prevention in CVD management. The integration of digitization, intelligent healthcare, and deep learning has significantly improved the prospects for CVD prevention. The research and development of cardiovascular health technologies—based on traditional and non-traditional risk factors, clinical and laboratory tests, imaging data, wearable devices, sensor data, and biological datasets—combined with the advancement of information technology and artificial intelligence, will enable the creation of an intelligent whole-life-cycle digital management system for cardiovascular health. This strategy will form a robust prevention and control framework for CVD, greatly helping to implement the "healthy China 2030" plan.