Deep-Learning Models for the Prognostication and Localization of Premature Ventricular Contractions Using a 12-Lead Electrocardiogram

Mayo Clinic Cardiovascular CME

Deep-Learning Models for the Prognostication and Localization of Premature Ventricular Contractions Using a 12-Lead Electrocardiogram
Guest: Guru G. Kowlgi, M.B.B.S.

Host: Anthony H. Kashou, M.D.

In this episode, learners will understand what premature ventricular contractions are. They will learn to differentiate benign rom malignant PVCs, and understand which patients are at risk for PVC-cardiomyopathy. Furthermore, they will gain knowledge about the traditional and novel tools for risk-stratifying patients with PVCs, and how we manage these patients.

Topics Discussed

• What are PVCs and what are their clinical implications?
• When should we be concerned about a patient with PVCs?
• What are some of the tools we have to detect and localize high risk PVCs? How does AI help in this regard?
• What are the available treatment modalities for managing PVCs?

Connect with Mayo Clinic's Cardiovascular Continuing Medical Education online at https://cveducation.mayo.edu or on Twitter @MayoClinicCV and @MayoCVservices.

LinkedIn: Mayo Clinic Cardiovascular Services

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No CME credit offered for this episode.

Podcast episode transcript found here.