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?

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LinkedIn: Mayo Clinic Cardiovascular Services

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Podcast episode transcript found here.

Deep-Learning Models for the Prognostica...