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Artificial intelligence-enhanced management system for secondary prevention of coronary heart disease: a randomized

Zhengqing Ba1, Jing Yuan2, Sheng Zhao1

  • 1Department of Cardiology, State Key Laboratory of Cardiovascular Disease, National Center for Cardiovascular Diseases, Fuwai Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, No. 167 Beilishi Road, Xicheng District, Beijing, Beijing, 100037, China.

BMC Medicine
|August 19, 2026
PubMed

Insights

An AI-enhanced management system (AIM-CHD) significantly improved low-density lipoprotein cholesterol (LDL-C) and blood pressure (BP) control in coronary heart disease (CHD) patients. This digital health tool offers a scalable strategy for secondary prevention, enhancing patient outcomes.

Area of Science:

  • Cardiology
  • Digital Health
  • Artificial Intelligence

Background:

  • Secondary prevention of coronary heart disease (CHD) is often suboptimal due to fragmented care and therapeutic inertia.
  • Existing digital health tools struggle to offer comprehensive, closed-loop management of multidimensional risk factors without increasing clinician workload.

Purpose of the Study:

  • To evaluate the efficacy of an artificial intelligence (AI)-enhanced management system (AIM-CHD) in improving multidimensional risk factor control among patients with CHD.
  • To assess the impact of AIM-CHD on low-density lipoprotein cholesterol (LDL-C) and blood pressure (BP) control.

Main Methods:

  • A single-center, open-label, randomized clinical trial involving 1100 adults with confirmed CHD.
  • Participants were randomized to either the AIM-CHD intervention or usual care for 3 months.
  • AIM-CHD featured automated data capture, risk stratification, and closed-loop smartphone feedback.

Main Results:

  • The AIM-CHD group showed significantly lower mean LDL-C levels (60.4 vs. 63.7 mg/dL; p=0.03) and higher LDL-C goal attainment (71% vs. 64%; p=0.03).
  • Intervention participants were more likely to achieve BP targets (45% vs. 35%; p=0.002).
  • No significant differences were observed for HbA1c, BMI, or medication adherence.

Conclusions:

  • The AIM-CHD system effectively improved short-term lipid and BP control compared to usual care.
  • Interoperable, low-burden digital management systems represent a scalable strategy for routine CHD secondary prevention.
Abstract

Keywords:
Artificial IntelligenceCoronary Artery DiseaseDigital HealthSecondary Prevention

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