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.
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...
The workshop “Coupled AI and Finite Element Methods: Discovering Novel Biomarkers from Complex Medical Datasets” was organized as part of the STRATIFYHF project at the IEEE-EMBS International...
Proud to share that Tijana Geroski participated in the Symposium “Cutting-Edge Scientific Knowledge through Project Results”, organized by the Serbian Academy of Sciences and Arts (SANU) and the Heart...