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

In this episode of the "Mayo Clinic Cardiovascular CME" podcast, Guru Kowlgi, M.B.B.S., and host Anthony Kashou, M.D., dive deep into the topic of deep-learning models for the prognostication and localization of premature ventricular contractions (PVCs) using a 12-lead ECG. This episode differentiates benign rom malignant PVCs and informs which patients are at risk for PVC-cardiomyopathy.

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?

Listen to the full episode here.

Stay updated with the latest in cardiology and access all episodes of the "Mayo Clinic Cardiovascular CME" podcast by downloading the Mayo Clinic Cardiovascular CME app from the Apple or Google app store.