Welcome to our Lab

Using AI to decode the hidden signals of cardiovascular and cardiometabolic disease

Section of Cardiovascular Medicine  ·  Yale School of Medicine

Evangelos K. Oikonomou

Evangelos K. Oikonomou

What We Do

Our work follows a translational arc from computational method development to clinical deployment and discovery. We develop and apply AI to multimodal data already generated in care (including echocardiography, cardiac CT, ECG, and longitudinal health records) to define cardiovascular phenotypes more precisely, detect disease earlier, and match therapies to the patients most likely to benefit.

01

Develop

Create new computational techniques that align, reconstruct, and learn from multimodal clinical data.

02

Build

Train foundation models and task-specific models for defined cardiovascular questions.

03

Validate

Test performance, transportability, and equity across institutions, populations, and prospective cohorts.

04

Deploy

Use validated models to screen for disease, predict risk, and link patient phenotypes to therapies.

05

Discover

Learn from deployment to reveal disease biology and generate the next clinical and computational questions.

Work With Us

We welcome researchers working at the intersection of cardiovascular medicine, imaging, AI, and translational data science.

We are especially interested in people who want to ask clinically important questions, build rigorous quantitative methods, and test them in real care settings.

Contact us →