News
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2026
European Heart Journal · CardioPulse
Rising Stars: Evangelos Oikonomou
A European Heart Journal CardioPulse profile on our work developing and deploying AI-enabled cardiovascular biomarkers for scalable, patient-centred care.
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Yale School of Medicine
Using AI to Guide AI
TARGET-AI: an AI-enabled clinical decision support system helping providers determine when and how to deploy AI tools in clinical practice.
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The Guardian
Oxford Scientists Develop AI Tool to Spot Heart Failure
Coverage of our JACC 2026 work showing that AI can predict heart failure years in advance from the texture of epicardial fat on routine chest CT.
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2025
Yale School of Medicine
AI Tool Interprets Echocardiograms in Minutes
PanEcho, trained on nearly one million echocardiographic videos, accurately performs 39 diagnostic tasks to detect heart conditions.
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2024
Yale School of Medicine
AI Automates Diagnosis of Severe Heart Valve Disease
A deep learning model automatically detects severe aortic stenosis from echocardiography, enabling earlier diagnosis and broader community screening.
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Renal & Urology News
AI Can Use ECG Images to Define Risk for Cancer Therapy-Linked Cardiac Dysfunction
Coverage of our AI-ECG work enabling risk stratification for cancer therapeutics-related cardiac dysfunction from standard electrocardiographic images.
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POLITICO · Future Pulse
AI Imaging Gets to the Heart of the Problem
POLITICO Future Pulse on our lab's work applying AI to cardiovascular imaging - detecting subclinical disease signals hidden in routine scans.
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2022
Yale School of Medicine
Machine Learning for Personalized Blood Pressure Management
PRECISION uses clinical trial data and machine learning to personalize blood pressure treatment decisions for patients with and without diabetes.
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Video
ESC 365 · European Society of Cardiology
ESC TV Feature
Featured coverage by ESC TV on our work in AI-enabled cardiovascular imaging biomarkers. 0:44.
Watch on ESC 365 →
Podcasts
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2026
Health & Veritas · Yale School of Management
Decoding the Hidden Signals of Heart Disease
A conversation on how AI can identify overlooked indicators of heart disease from routine ECGs, imaging studies, and electronic health records - and what it means for the future of cardiovascular care.
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JACC Podcast · Journal of the American College of Cardiology
Behind the Science: Radiomic Profiling of Epicardial Fat for Heart Failure Prediction
A conversation on our JACC 2026 work using radiomic phenotyping of epicardial fat on routine cardiac CT to predict heart failure risk.
Listen to episode →
Lighter Side
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2026
Saturday Night Live UK · YouTube
Saturday Night Live UK
Following our JACC 2026 paper showing AI can predict heart failure risk from epicardial fat on routine CT - SNL UK had thoughts.
Watch on YouTube →