WILLEM

AI platform transforming ECG data into clinical reports, enhancing diagnosis and prediction

Heart disease diagnosis involves a combination of heart-monitoring, imaging and blood tests, which are usually interpreted by clinicians. Funded by the European Innovation Council, the WILLEM: AI to Reduce Cardiovascular Diseases project introduces an AI-based platform capable of transforming electrocardiogram (ECG) data into a clinical report. The platform can be used with any ECG monitoring device and can diagnose numerous types of heartbeat irregularities (arrhythmias) as well as atrial fibrillation. Importantly, it can integrate into any clinical workflow and predict progression into cardiovascular disease in an automated manner. Its implementation is expected to minimise physician workload and enhance heart disease detection.