Cardiac Electrophysiology & AI Research Group
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.
Our Research Impact
AI Risk Estimation (AIRE) Platform
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.
AIRE-HTN: Hypertension Detection
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.
AIRE Delta-BMI: Cardiometabolic Insights
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.
Image-Based Diagnostic Models
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.
Experimental Research & Validation
Our laboratory combines cutting-edge technology with rigorous experimental methodology to validate our AI models and explore new frontiers in cardiac electrophysiology. We bridge the gap between computational innovation and clinical application.
Advanced Equipment
State-of-the-art cardiac monitoring and analysis systems
Rigorous Validation
Comprehensive testing ensures clinical reliability
Translational Research
From bench to bedside implementation