Artificial intelligence-based decision support system for risk stratification and early detection of heart failure in primary and secondary care
The overarching AIM of this Research and Innovation Action is to develop and clinically validate a truly innovative AI-based Decision Support System (STRATIFYHF) for predicting risk of HF, facilitating its early diagnosis and progression prediction that will radically change how HF is managed in both primary and secondary care. The DSS integrates patient-centred data obtained using existing and novel technologies, a digital patient library and AI-based algorithms and computational modelling.
Prof Nenad Filipovic has invited talk at 6th Annual SIGN Conference in Victoria Falls, Zimbabwe from 9 to 12 April with title Applied AI in cardiovascular disease. He presented the new results from...
Once again, STRATIFYHF had the dedicated session at the XXIV International Congress of Clinical Cardiology and Heart Failure, CardioS 2026, which was held at the Crowne Plaza Hotel, Belgrade, on March...
Our team members proudly presented achievements of their research regarding classification for disease diagnosis and ejection fraction based risk assessment of heart failure patients at the 25th...