WILLEM: AI to Reduce Card...
Financiado
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 si...
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, 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.
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Duración del proyecto: 24 meses
Fecha Inicio: 2022-10-11
Fecha Fin: 2024-10-31
Fecha Fin: 2024-10-31
Línea de financiación: concedida
El organismo HORIZON EUROPE notifico la concesión del proyecto el día 2022-10-11
HORIZON EUROPE
No se conoce la línea exacta de financiación, pero conocemos el organismo encargado de la revisión del proyecto.
Presupuesto
El presupuesto total del proyecto asciende a
4M€
Líder del proyecto
IDOVEN 1903
No se ha especificado una descripción o un objeto social para esta compañía.
