Key result
AI-powered cardiovascular care system demonstrates feasibility for addressing bilingual digital health literacy.
Why the study?
Existing digital health solutions for cardiovascular diseases often lack personalized, bilingual responsive education and proactive risk assessment, especially for vulnerable populations.
The proposed 'My Heart' system introduces a novel, AI-driven, bilingual digital health platform integrating ASCVD risk assessment and a Digital Human Agent to improve patient education and care coordination.
May support bilingual AI tools for ASCVD education; leaves open clinical outcome impact pending RCTs.
Cardiovascular diseases (CVDs) remain the leading cause of death globally, driven by misinformation, low health literacy, and fragmented patient engagement. Existing digital health solutions often lack personalized, bilingual responsive education and proactive risk assessment, especially for vulnerable populations. To address these gaps, this study introduces a newly developed, fully integrated cardiovascular care system that combines a Digital Human Agent (DHA), Artificial Intelligence (AI)-based cardiovascular risk assessment (the focus of this study is on Atherosclerotic Cardiovascular Disease (ASCVD)), bilingual voice interaction via Natural Language Processing (NLP), and a real-time cardiologist dashboard; all within a single system. This is a comprehensive system designed, accessible via mobile and web, to deliver personalized, bilingual cardiovascular educational content and management. It employs the validated ASCVD model aligned with American Heart Association (AHA)/American College of Cardiology (ACC) guidelines and features an adaptive AI assistant that simplifies medical terms and offers risk-based recommendations. The system ensures Health Insurance Portability and Accountability Act (HIPAA)-compliant data security. Initial system evaluation and expert feedback reflect that the proposed system has the potential to enhance user engagement, support comprehension of cardiovascular health information, and early risk detection. Compared to existing systems, the proposed system contributes to an advancement in bilingual digital health literacy, patient education guided by interactive AI, real-time care coordination, and scalable deployment, making a promising step forward in patient-centered cardiovascular care.
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Al-Rajab et al. (2026) studied Atherosclerotic Cardiovascular Disease (n=356). My Heart AI-powered cardiovascular health system was evaluated on System feasibility and functional performance. The proposed AI-powered cardiovascular care system, integrating a Digital Human Agent and ASCVD risk assessment, demonstrated feasibility in addressing bilingual digital health literacy.
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