Cardiovascular disease prevention in China: challenges and opportunities in the artificial intelligence-enabled digital health era.

Journal: Nature reviews. Cardiology
Published Date: Oct 16, 2025

Abstract

Over the past decade, substantial progress has been made in China in improving health-care infrastructure and enacting national policies focused on the prevention of cardiovascular disease (CVD) and other non-communicable chronic diseases. Nevertheless, a considerable gap remains between the national goals for cardiovascular health and the burden of CVD in the Chinese population. The rapid advances in digital health-care platforms and the increasing adoption of artificial intelligence (AI) technologies across various health-care sectors underscore the potential for these innovative approaches to address existing challenges in CVD prevention. In this Review, we summarize the major challenges in implementing preventative strategies and highlight the core obstacles to achieving the national goals for cardiovascular health in China. Furthermore, we discuss the potential value of, and the challenges associated with, digital health-care and AI technology in the implementation of preventative strategies in China and other countries with similar needs.

Authors

  • Dong Zhao
    Collaborative Innovation Center of Judicial Civilization, Key Laboratory of Evidence Science, Ministry of Education, China University of Political Science and Law, Beijing 100088, China.
  • Yun Zhang
    Biology Institute, Qilu University of Technology (Shandong Academy of Sciences), Jinan, China.
  • Jiguang Wang
    Department of Systems Biology, Columbia University, New York, NY 10032 USA.
  • Liu He
    Key Laboratory of Opto-Electronics Information Technology, Institute of Laser and Opto-Electronics, College of Precision Instruments and Opto-Electronics Engineering, Tianjin University, Tianjin 300072, China.
  • Yihua He
  • Changsheng Ma
    Department of Radiation Physics, Shandong Cancer Hospital and Institute, Shandong First Medical University, Shandong Academy of Medical Sciences, 250117, Jinan, Shandong Province, China. [email protected].

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