Lab profile
About CarDS
The Cardiovascular Data Science Lab leads innovation in cardiovascular care through applied data science and artificial intelligence. The lab focuses on developing cutting-edge tools for cardiovascular disease detection, precision clinical trial inference, electronic care quality assessment, health outcomes and policy research, and digital twin technology to enhance personalized medicine.
01 · Research focus
Research areas and highlights
Topics and recent work as stated on the lab’s own site.
- AI-EchoA suite of tools combining AI-based models with echocardiography images for state-of-the-art echocardiographic interpretation across complete and limited studies.
- AI-ECGA suite of tools utilizing AI-based models for clinical diagnosis using electrocardiogram images, regardless of format or layout, to diagnose cardiovascular diseases and disorders.
- Precision ToolkitA suite of tools that personalize the assessment of randomized clinical trials through the application of advanced data science and machine learning.
- CarDSPlusAn ECG platform designed to connect with wearable devices like Apple Watch, Fitbit, and AliveCor Kardia to detect structural heart disorders.
02 · People
Leadership and researchers
People listed on the lab’s team pages, by role.
03 · Research intelligence
Research Intelligence evidence
Publications, grants and clinical trials linked to the lab’s researchers in Health AI Central’s research data.
Publications & preprints
- Comparative Cardiovascular Effectiveness of Glucagon-Like Peptide 1 Receptor Agonists and Sodium-Glucose Cotransporter 2 Inhibitors in Diabetes Mellitus.Journal of the American College of Cardiology · 2026
- Artificial Intelligence-Enhanced Electrocardiogram Models for Detection of Left Ventricular Dysfunction: A Comparison Study.JACC. Advances · 2026
- Identifying Bias at Scale in Clinical Notes Using Large Language Models.Mayo Clinic proceedings. Digital health · 2025
Active NIH grants
- TARGET-TTR: Targeted Artificial Intelligence-Driven Screening of Transthyretin Amyloid Cardiomyopathy in the Electronic Health RecordEvangelos K. Oikonomou · NHLBI · FY 2026
- Deep learning enhanced detection and personalized monitoring of aortic stenosis - The DETECT-AS StudyRohan Khera · NIA · FY 2026
- Translating Personalized Inference from Randomized Clinical Trials to Real-World Cardiovascular CareRohan Khera · NHLBI · FY 2026
04 · Updates
Updates and lab news
News and events from the lab’s own site.
- New AI Tool Detects Widely Underdiagnosed Heart ConditionNewsSep 25, 2026 · medicine.yale.edu
- New Yale study finds AI tool can interpret echocardiograms in minutesNewsJun 23, 2025 · cards-lab.org
- YNHH Announces winner of Health AI ChampionshipAnnouncementJun 3, 2025 · cards-lab.org
- How AI Is Transforming MedicineNewsApr 17, 2025 · bloomberg.com
- AI Can Identify Cardiomyopathies Early, Says New StudyNewsJan 31, 2025 · cards-lab.org
- New AI Tool Identifies Risk of Future Heart FailureNewsJan 23, 2025 · cards-lab.org
- 17 Recognized with Yale Faculty Innovation AwardsAwardNov 7, 2024 · cards-lab.org
- Personalizing Clinical Trial Results: The Future of Evidence GenerationNewsSep 4, 2024 · cards-lab.org
05 · Official presence
Lab sources and channels
The lab’s own pages and accounts.
06 · Related
Related labs and centers
Labs at the same institution and labs working on similar topics.