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Assistant Professor Demilade Adedinsewo

Mayo Clinic, Jacksonville (United States of America)

Member of:

European Society of Cardiology
European Society of Cardiology

Dr. Demilade Adedinsewo is an Assistant Professor of Medicine and non-invasive cardiologist at Mayo Clinic in Florida with a clinical focus in women’s heart health and echocardiography. She is a fellow of the American College of Cardiology and her research interests include cardiovascular epidemiology, cardiovascular disease in women and the applications of artificial intelligence (AI) tools in cardiovascular disease detection.

Presentations Articles

Artificial intelligence enabled obstetric cardiovascular screening: secondary endpoint results from the SPEC-AI Nigeria randomized clinical trial

Event: ESC Congress 2024

Topic: Pregnancy and Cardiovascular Disease

Session: Registries, observational, and other studies on cardiovascular problems in pregnancy

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Enabling disease diagnosis at scale: deploying novel artificial intelligence in consumer devices for community cardiovascular screening

Event: ESC Congress 2024

Topic: Artificial Intelligence (Machine Learning, Deep Learning)

Session: Enhancing personalised cardiovascular care with artificial intelligence

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Does artificial intelligence increase the socioeconomic gap?

Event: ESC Congress 2024

Topic: e-Cardiology/Digital Health

Session: Using artificial intelligence to bridge gaps in cardiovascular care

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Implementing artificial intelligence-based cardio-obstetric screening in a diverse patient population: a prospective study

Event: ESC Congress 2023

Topic: Pregnancy and Cardiovascular Disease

Session: Pregnancy: prediction and screening

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Non-invasive detection of cardiac allograft rejection among heart transplant recipients using an electrocardiogram-based deep learning model

Event: ESC Congress 2023

Topic: e-Cardiology/Digital Health

Session: The best of The European Heart Journal – Digital Health 2022-2023

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Screening for cardiac allograft rejection among heart transplant recipients using an electrocardiogram-based deep learning model

Event: ESC Congress 2022

Topic: Heart Transplantation

Session: The cutting-edge of advanced heart failure: VADs and transplantation

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Relationship between cardiovascular symptoms, health status assessment and cardiomyopathy in the obstetric population

Event: ESC Congress 2022

Topic: Pregnancy and Cardiovascular Disease

Session: Pregnancy and cardiovascular disease

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Detecting cardiomyopathies in pregnancy and the postpartum period using ECG

Event: ESC Congress 2021 - The Digital Experience

Topic: Artificial Intelligence (Machine Learning, Deep Learning)

Session: e-Cardiology/Digital Health ePosters

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