ArticleFrontiers in cardiovascular medicine2026
Effect of an artificial intelligence health education accurately linking system on self-management in young and middle-aged patients after percutaneous coronary intervention: a protocol.
Article in Frontiers in cardiovascular medicine, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Authors and funding
8 authors.
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Abstract
Background: Coronary artery disease is a common heart disease worldwide, and the morbidity and mortality rates among Chinese residents continue to rise. Percutaneous coronary intervention (PCI) can improve survival rates, but long-term management is required after the procedure. Traditional interventions have shortcomings such as dependence on medical institutions and the lack of personalized treatment plans. This study aims to evaluate the effectiveness of the Artificial Intelligence-based Health Education Precision Linkage System (AI-HEALS) in improving self-health management among young and middle-aged patients after PCI. Methods and analysis: This is a single-center, randomized, single-blind, parallel-group controlled trial. Eligible patients aged 18-59 years from Xuanwu Hospital, Capital Medical University, will be randomly allocated at a 1:1 ratio to receive either standard care plus the AI-HEALS intervention (intervention group) or standard care alone (control group). The primary outcome is the change in self-management ability from baseline to the 3-month intervention endpoint, assessed using the Coronary Heart Disease Self-Management Behavior Scale (CSMS). Secondary outcomes include medication adherence, dietary behavior, exercise frequency, and psychological indicators. Assuming an effect size of Ethics and dissemination: This study has been approved by the Ethics Committee of Xuanwu Hospital, Capital Medical University (Approval No.[2024] 409-002). Written informed consent will be obtained from all participants. Results will be disseminated through peer-reviewed publications and academic conferences.
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