Aim of the research project

Cardiovascular disease (CVD), with its primary forms of coronary heart disease and stroke, stands as the leading cause of death worldwide, with significant social and economic consequences.

The primary challenge in the management of CVD lies in the identification of individuals at high risk of developing cardiovascular disease, given the majority of cardiac incidents, whether fatal or non-fatal, tend to occur in individuals  without prior history of CVD.

 In an effort to accurately classify and identify individuals who are more likely to experience cardiovascular events, several statistical models have been developed in recent years to assess the CVD risk (cardiovascular risk scores). However, these statistical models appear to be prone to methodological constraints that often result in either under or overestimation of cardiovascular risk. This emphasizes the necessity for the development of novel approaches to enhance their performance.

The aim of the EUCARDIA project is the design, development and implementation of an innovative online platform utilizing artificial intelligence (AI) models to provide personalized cardiovascular risk prediction (assessment) for the Greek population. The platform will be easy to use, fully customizable and compatible with any software.