We are advancing cardiac electrophysiology through the integration of artificial intelligence and experimental research. As leaders in AI-enhanced ECG (AI-ECG), our interdisciplinary team focuses on developing practical, research-driven solutions to enable earlier diagnosis and prevention of cardiac conditions. By combining innovation with rigorous scientific investigation, we aim to make a meaningful impact on heart health
AIRE is an actionable, explainable, and biologically plausible AI-ECG risk estimation platform that has the potential for use worldwide across a wide range of clinical contexts for short-term and long-term risk estimation.
Building on our initial success, AIRE-HTN extends our AI capabilities to hypertension detection and prediction, offering new possibilities for early intervention and treatment optimisation.
Our AI-ECG BMI model transforms ECG analysis into a tool for predicting BMI and identifying cardiometabolic risk through delta-BMI, a novel non-invasive biomarker linked to cardiovascular health
We’ve developed a suite of image-based models for screening and risk prediction, addressing the gap where digital ECGs are unavailable. These models deliver performance comparable to signal-based methods, expanding access to AI-driven cardiac diagnostics