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Professor Rickey Carter

Mayo Clinic, Jacksonville (United States of America)
Membership: FESC Member
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Biography
Rickey Carter, PhD, is Professor of Biostatistics at Mayo Clinic, Jacksonville, Florida. Administratively he directs Mayo Clinic's Digital Innovation Lab and the Biostatistics, Epidemiology and Research Design resource in Mayo Clinic’s Center for Clinical and Translational Science. Dr. Carter has research interests that span clinical trial optimization to the development of digital biomarkers using machine learning techniques.
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Contributor content

Precision cardiology: the role of signal processing and artificial intelligence
Session
Precision cardiology: the role of signal processing and artificial intelligence
1 September 2025
Climate change, ethnic disparities, and cardiovascular outcomes: an epidemiological perspective
Session
Climate change, ethnic disparities, and cardiovascular outcomes: an epidemiological perspective
30 August 2025
Breakthroughs in artificial intelligence-powered cardiac diagnosis and risk prediction
Session
Breakthroughs in artificial intelligence-powered cardiac diagnosis and risk prediction
2 September 2024
Cardiovascular assessment and intervention: from computational modelling to wearable technology
Session
Cardiovascular assessment and intervention: from computational modelling to wearable technology
2 September 2024
Revolutionising cardiac diagnosis: exploring deep learning in electrocardiography and beyond
Session
Revolutionising cardiac diagnosis: exploring deep learning in electrocardiography and beyond
30 August 2024
Artificial intelligence in cardiovascular medicine: from prediction to transformation of patient care
Session
Artificial intelligence in cardiovascular medicine: from prediction to transformation of patient care
30 August 2024
State-of-the-art management of patients with challenging VT substrates?
Session
State-of-the-art management of patients with challenging VT substrates?
29 August 2022
e-Cardiology/Digital health - Artificial intelligence 2
Session
e-Cardiology/Digital health - Artificial intelligence 2
26 August 2022

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