WILLEM: AI to Reduce Cardiovascular Diseases

WILLEM is the first 100% automated cloud platform for electrocardiogram (ECG) analysis, designed to comprehensively identify and diagnose all types of arrhythmias and predict Cardiovascular Diseases (CVDs) behaviour at 6 months since its detection.

WILLEM communicates users and hospitals-in real time through a unique Cloud Platform, integrable with any other eHealth platform as part of the clinical workflow.

WILLEM provides the best prospective and labelled ECG database and, as a hardware-agnostic platform, it uses breakthrough Artificial Intelligence (AI) models to transform raw ECG signals from any monitoring device into a medical grade ECG report.

Today, WILLEMs AI classifies 73 arrhythmias of the 288 known cardiac patterns, more than 90% of the cases, and it is the only solution that predicts Atrial Fibrillation.

The goal is to classify every arrythmia present in human biology and to predict the 6 most prevalent heart diseases in an automatic and non-supervised way to reduce CVDs.