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Samia Loucif

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#artificial intelligence Open access Sep 2026

My Heart: a personalized interactive cardiovascular care system using artificial intelligence

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.

Murad Al-Rajab, Samer Ellahham, Mohammad Omar Qassem et al. · 0 citations

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