About
Titles
Assistant Professor
Biography
Evangelos (Evan) K. Oikonomou, M.D., D.Phil. is a cardiologist, physician-scientist, and Assistant Professor in the Section of Cardiovascular Medicine (Internal Medicine) at the Yale School of Medicine. He specializes in the application of computer vision and statistical machine learning to advance precision phenotyping in cardiovascular disease. His research is grounded in developing scalable, cost-effective digital tools that can be integrated into existing care pathways to improve diagnosis, risk stratification, and therapeutic decision-making.
He graduated as valedictorian from the University of Athens Medical School and earned his doctorate (D.Phil.) in Medical Sciences from the University of Oxford. He subsequently joined the Physician-Scientist Training Program at Yale, where he completed his internal medicine residency and clinical fellowship in cardiology. His post-doctoral research was supported through an NIH F32 Ruth L. Kirschstein National Research Service Award from the National Heart, Lung, and Blood Institute. He is also the recipient of Young Investigator Awards from the American Heart Association (2021, 2023), American College of Cardiology (2024), European Society of Cardiology (2018, 2019) and the Society for Cardiovascular Computed Tomography (SCCT, 2017).
His interdisciplinary research spans multiple domains of AI in cardiovascular and cardiometabolic medicine. He has:
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Developed and translated perivascular adipose tissue imaging biomarkers into clinically actionable tools for vascular inflammation and cardiovascular risk assessment using routine cardiac CT;
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Designed and validated deep learning algorithms tailored to point-of-care echocardiography for the diagnosis of both common and under-recognized cardiomyopathies; and
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Led data-driven evaluations of treatment effect heterogeneity across clinical trials, contributing to the design of adaptive, precision-enriched trial frameworks.
His work has been published in The Lancet, JAMA, The Lancet Digital Health, European Heart Journal, JACC, Circulation, JAMA Cardiology, and Diabetes Care, among others.
Looking ahead, Dr. Oikonomou is focused on leveraging multimodal AI to redefine diagnostic and prognostic frameworks in cardiovascular disease, from subclinical detection to dynamic risk prediction, with an emphasis on real-world implementation and equity in access to advanced diagnostics.
A detailed list of Dr. Oikonomou's bibliography can be accessed at https://www.ncbi.nlm.nih.gov/myncbi/evangelos.oikonomou.1/bibliography/public/ or https://scholar.google.com/citations?user=GgJv1SMAAAAJ&hl=en
Departments & Organizations
- ABIM Physician-Scientist Research Pathway
- Cardiovascular Data Science Lab (CarDS)
- Internal Medicine
- Yale Medicine
Education & Training
- Clinical fellow
- Yale School of Medicine (2025)
- Post-doctoral fellow
- Yale School of Medicine (2025)
- Resident
- Yale School of Medicine (2021)
- Intern
- Yale School of Medicine (2020)
- DPhil
- University of Oxford (2020)
- MD
- University of Athens School of Health Sciences (2015)
Board Certifications
Internal Medicine
- Certification Organization
- AB of Internal Medicine
- Original Certification Date
- 2022
Research
Overview
Medical Research Interests
Academic Achievements & Community Involvement
News & Links
News
- June 23, 2025
AI Tool Interprets Echocardiograms in Minutes, New Yale Study Finds
- January 31, 2025
AI Can Identify Cardiomyopathies Early, Says New Study
- January 23, 2025
New AI Tool Identifies Risk of Future Heart Failure
- September 04, 2024
Personalizing Clinical Trial Results: The Future of Evidence Generation
Get In Touch
Contacts
Yale School of Medicine
195 Church St, 6th floor
New Haven, CT 06510
United States