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Doctor Evangelos K Oikonomou

Yale School of Medicine, New Haven (United States of America)
Membership: ESC Professional Member HFA Member
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Biography
Evangelos K. Oikonomou, MD, DPhil is a cardiologist, data scientist and Assistant Professor 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.
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Contributor content

Evaluating large language models in echocardiography reporting: opportunities and challenges
Presentation
Evaluating large language models in echocardiography reporting: opportunities and challenges
How do I implement, train, fine-tune, and validate my own foundation model?
Presentation
How do I implement, train, fine-tune, and validate my own foundation model?
Targeted deployment of AI-ECG for efficient screening of transthyretin amyloid cardiomyopathy using deep learning representations of longitudinal electronic health records
Presentation
Targeted deployment of AI-ECG for efficient screening of transthyretin amyloid cardiomyopathy using deep learning representations of longitudinal electronic health records
Guiding the targeted deployment of AI-ECG for the precision diagnosis of structural heart disorders in the electronic health record
Presentation
Guiding the targeted deployment of AI-ECG for the precision diagnosis of structural heart disorders in the electronic health record
Automated radiomic profiling of epicardial adiposity for heart failure risk stratification: a multi-center study
Presentation
Automated radiomic profiling of epicardial adiposity for heart failure risk stratification: a multi-center study
Real-world evaluation of an algorithmic machine-learning-guided testing approach in stable chest pain: a multinational, multicohort study
Presentation
Real-world evaluation of an algorithmic machine-learning-guided testing approach in stable chest pain: a multinational, multicohort study
Foundation models bridging ECGs and electronic health records
Presentation
Foundation models bridging ECGs and electronic health records
Multimodal screening of transthyretin amyloid cardiomyopathy through artificial intelligence applied to electrocardiographic images and point-of-care ultrasound: a multi-center study
Presentation
Multimodal screening of transthyretin amyloid cardiomyopathy through artificial intelligence applied to electrocardiographic images and point-of-care ultrasound: a multi-center study
Artificial intelligence applied to electrocardiographic images for the risk stratification of cancer therapeutics-related cardiac dysfunction
Presentation
Artificial intelligence applied to electrocardiographic images for the risk stratification of cancer therapeutics-related cardiac dysfunction
Deep learning to predict progression of aortic stenosis
Presentation
Deep learning to predict progression of aortic stenosis

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