Gengshuo Wang¹ and Morris Blaustein², ¹USA, ²California State Polytechnic University, USA

Cardiovascular diseases (CVD) are the leading cause of death worldwide, underscoring the urgent need for accessible and personalized health management solutions [1]. This research presents CRIC, a mobile app that leverages AI to generate personalized Cardiac Risk Factor Scores and provide tailored recommendations. By integrating user input, AI-driven analysis, and a secure database, CRIC delivers actionable health insights and reliable educational resources to users [2]. Experiments involving 10 participants demonstrated high user satisfaction, with significant knowledge improvement as post-test scores increased by 30%. While challenges such as data accuracy and navigation were identified, iterative enhancements address these issues effectively. CRIC offers an innovative approach to bridging the gaps in traditional cardiovascular risk assessment, empowering users to make informed decisions about their health and contributing to global efforts in preventive healthcare.

AI-Powered Analysis, Cardiovascular Health, Mobile Health App, Health Education, Preventive Healthcare