Doctor Evangelos K Oikonomou

Doctor Evangelos K Oikonomou

Yale School of Medicine, New Haven (United States of America)

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Evangelos K. Oikonomou MD DPhil is a clinical investigator at the Yale School of Medicine and the Yale Cardiovascular Data Science (CarDS) Lab with a focus on AI in cardiovascular imaging, digital biomarkers, and the development of scalable technologies for the point-of-care screening of cardiovascular disease. He serves as an Associate Editor in European Heart Journal.

Presentations Events Articles Podcasts

Artificial intelligence applied to electrocardiographic images for the risk stratification of cancer therapeutics-related cardiac dysfunction

Event: ESC Congress 2024

Topic: Cardio-Oncology

Session: Cardiovascular risk of cancer therapy

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Deep learning to predict progression of aortic stenosis

Event: ESC Congress 2024

Topic: Aortic Valve Stenosis

Session: Digital tools to inform decisions in aortic stenosis

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Artificial intelligence-guided screening of under-recognized cardiomyopathies adapted for point-of-care echocardiography

Event: ESC Congress 2024

Topic: Myocardial Disease

Session: Imaging to improve diagnosis and risk-stratification of cardiomyopathies

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Characterizing the progression of subclinical cardiac amyloidosis through artificial intelligence applied to electrocardiographic images and echocardiograms

Event: ESC Congress 2024

Topic: Infiltrative Myocardial Disease

Session: Cardiac amyloidosis: how to stage and score

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Predicting aortic stenosis progression using a video-based deep learning model of aortic stenosis built for single-view two-dimensional echocardiography

Event: ESC Congress 2023

Topic: Valvular Heart Disease

Session: Advances in diagnosis and risk stratification of valvular heart disease

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Standardised quantification of coronary inflammation using cardiac computed tomography: The Fat Attenuation Index Score (FAI-Score)

Event: ESC Preventive Cardiology 2021

Topic: Coronary Computed Tomography Angiography (Coronary CTA, CCTA)

Session: Young Investigators Award Population Science and Public Health

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Perivascular fat attenuation index stratifies the cardiac risk associated with high-risk plaque features on coronary computed tomography angiography

Event: ESC Congress 2019

Topic: Plaque Imaging

Session: Young Investigator Award Session Clinical Cardiology

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Computed tomography-based perivascular fat phenotyping identifies unstable coronary lesions and active vascular calcification

Event: ESC Congress 2018

Topic: Coronary Computed Tomography Angiography (Coronary CTA, CCTA)

Session: Young Investigator Award Session Clinical Cardiology

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Clinical and biological predictors of early vein graft failure: The SAFINOUS-CABG collaborative group

Event: ESC Congress 2017

Topic: Coronary artery bypass surgery

Session: Cardiovascular surgery

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Doctor Evangelos K Oikonomou

Biography

Contributor content

Artificial intelligence applied to electrocardiographic images for the risk stratification of cancer therapeutics-related cardiac dysfunction

Deep learning to predict progression of aortic stenosis

Artificial intelligence-guided screening of under-recognized cardiomyopathies adapted for point-of-care echocardiography

Characterizing the progression of subclinical cardiac amyloidosis through artificial intelligence applied to electrocardiographic images and echocardiograms

Predicting aortic stenosis progression using a video-based deep learning model of aortic stenosis built for single-view two-dimensional echocardiography

Standardised quantification of coronary inflammation using cardiac computed tomography: The Fat Attenuation Index Score (FAI-Score)

Perivascular fat attenuation index stratifies the cardiac risk associated with high-risk plaque features on coronary computed tomography angiography

Computed tomography-based perivascular fat phenotyping identifies unstable coronary lesions and active vascular calcification

Clinical and biological predictors of early vein graft failure: The SAFINOUS-CABG collaborative group

ESC 365 is supported by

Doctor Evangelos K Oikonomou Follow

Biography

Contributor content

Artificial intelligence applied to electrocardiographic images for the risk stratification of cancer therapeutics-related cardiac dysfunction

Deep learning to predict progression of aortic stenosis

Artificial intelligence-guided screening of under-recognized cardiomyopathies adapted for point-of-care echocardiography

Characterizing the progression of subclinical cardiac amyloidosis through artificial intelligence applied to electrocardiographic images and echocardiograms

Predicting aortic stenosis progression using a video-based deep learning model of aortic stenosis built for single-view two-dimensional echocardiography

Standardised quantification of coronary inflammation using cardiac computed tomography: The Fat Attenuation Index Score (FAI-Score)

Perivascular fat attenuation index stratifies the cardiac risk associated with high-risk plaque features on coronary computed tomography angiography

Computed tomography-based perivascular fat phenotyping identifies unstable coronary lesions and active vascular calcification

Clinical and biological predictors of early vein graft failure: The SAFINOUS-CABG collaborative group

ESC 365 is supported by

Doctor Evangelos K Oikonomou