Interpretable AI, Fairness & Ethics
Opening the "black box" of complex models to provide human-understandable insights while ensuring equitable outcomes and robust digital ethics.
Assessing Cardiac Functionality via Interpretable AI
A fully interpretable, rule-based machine learning model using myocardial strain data to accurately estimate Left Ventricular Ejection Fraction (LVEF).
Active Research Area
We are currently finalizing the digital portfolio for this research pillar. More detailed project descriptions, datasets, and software repositories will be published here soon.