SOURCE-LINKED INTELLIGENCE

WILLEM: AI to Reduce Cardiovascular Diseases

CORDIS · observation · Publication date unknown

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, WILLEM’s 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. eHealth,Cloud computing,Monitoring,Holter,ECG,Electrocardiogram,Arrythmia,Heart,Artificial Intelligence,Cloud Platform,Cardiovascular Diseases,Healthcare Platform,ECG Analysis,SaaS

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recordType

award

status

CLOSED

region

EU

value

2500000

unit

EUR