2 papers
cs.AI2026
PACE-ECG: Patient-Aware Contrastive ECG Pretraining; Leveraging Longitudinal Structure for Transferable Representations
Riccardo Cavarra, Lupo Lovatelli, Shaheim Ogbomo-Harmitt +4
Foundation models for physiological signals are commonly evaluated on in-domain interpretation tasks, but their ability to transfer to longitudinal clinical prognosis across health…
cs.LG2026
Dynamical Predictive Modelling of Cardiovascular Disease Progression Post-Myocardial Infarction via ECG-Trained Artificial Intelligence Model
Riccardo Cavarra, Lupo Lovatelli, Shaheim Ogbomo-Harmitt +4
Myocardial infarction (MI) is a leading cause of death, and its adverse outcomes are urgent to predict. Yet ECG-based prognostic models underperform because deep learning requires…