Artificial Intelligence model developed in Girona improves cardiovascular risk prediction

The research, led by IDIBGI and CSMS, analyzed data from nearly 1,800 patients with familial hypercholesterolemia to prevent early heart disease.

Visual representation of an artificial intelligence model analyzing complex medical data for risk prediction.
IA

Visual representation of an artificial intelligence model analyzing complex medical data for risk prediction.

Researchers from the Girona Biomedical Research Institute and the Maresme and Selva Health Corporation have developed an Artificial Intelligence model designed to more accurately predict cardiovascular risk in patients suffering from familial hypercholesterolemia.

The new Artificial Intelligence (AI) model was created by the Digital Health Innovation Group at IDIBGI and CSMS. The focus is on familial hypercholesterolemia (FH), a hereditary condition identified as the leading cause of premature coronary heart disease.
FH results in extremely high LDL cholesterol levels from birth, significantly raising the likelihood of cardiovascular events. Enhanced prediction capabilities allow clinicians to implement more personalized and effective preventive treatment strategies.
To develop and validate the model, researchers analyzed clinical data from 1,764 individuals diagnosed with FH, over half of whom were women. This data was sourced from the National Registry of the Sociedad Española de Arteriosclerosis (SEA).
The study emphasizes the crucial role of collaboration between biomedical research centers and health corporations in applying advanced technological solutions to high-prevalence public health issues.