Evangelos K. Oikonomou
What We Do
We develop and clinically translate AI-enabled digital biomarkers — harnessing computer vision and statistical machine learning to advance precision phenotyping across the cardiovascular disease spectrum. Our goal is scalable, cost-effective tools that integrate seamlessly into routine clinical workflows to improve diagnosis, risk stratification, and therapeutic decision-making.
AI Digital Biomarkers in CV Imaging
Building imaging-derived features from echocardiography, CT, and ECG that capture disease biology invisible to the human eye — and translating them into scalable clinical tools.
Digital Phenotyping of Adverse Adiposity
Decoding how epicardial and perivascular fat encode early cardiovascular risk through radiomic and deep learning analysis of routine CT scans.
Precision Phenomapping for Clinical Trials
Using data-driven subgroup discovery to identify who benefits most from therapy — reshaping how we design, enrich, and interpret cardiovascular trials.
Multimodal AI & Clinical Informatics
Integrating imaging, electrophysiology, and the electronic health record into deployable AI systems that work at the point of care, at scale, and for everyone.
Work With Us
We are open to undergraduate and graduate students, medical students, residents, fellows, postdoctoral researchers, and faculty collaborators who want to build clinically grounded AI and digital phenotyping tools with clear translational potential. If our work resonates with you, we'd love to hear from you.
