Learn more about the process and indications for EP ablation on this “ECG Segment: Making Waves” episode of the “Mayo Clinic Cardiovascular CME” podcast. Our distinguished guest, Guru Kowlgi, M.B.B.S., and host Anthony Kashou, M.D., explore why some patients might need multiple ablations and discuss some of the potential complications associated with the procedure.

In this episode of the "Mayo Clinic Cardiovascular CME" podcast, guest Adrian Baranchuk, M.D., explores how to differentiate narrow complex tachycardias.

In the latest episode of the "Mayo Clinic Cardiovascular CME" podcast, Adam May, M.D., a cardiac intensivist and assistant professor of medicine at Washington University’s School of Medicine, talks with host Anthony Kashou, M.D., about the challenges with artificial intelligence and ECG analysis.

In this episode of the "Mayo Clinic Cardiovascular CME" podcast, Pendell Meyers, M.D., assistant professor of emergency medicine at Atrium Health Carolinas Medical Center in Charlotte, North Carolina, and co-editor of Dr. Smith’s ECG blog, joins host Anthony Kashou, M.D., to discuss the role of artificial intelligence in detecting acute occlusion myocardial infarction (OMI).

In this episode of the “Mayo Clinic Cardiovascular CME” podcast, David Harmon Jr., M.D., a cardiology fellow at Mayo Clinic, joins host Anthony Kashou, M.D., to discuss the use of AI-ECG in detecting cardiac amyloidosis. Dr. Harmon shares insights into the background and rationale behind utilizing AI-ECG for cardiac amyloidosis screening, highlighting its potential strengths. The conversation also delves into the surprising results obtained from the validation study, showcasing the efficacy of AI-ECG in identifying cardiac amyloidosis. Dr. Harmon addresses the limitations and challenges encountered during this work, emphasizing the need for further research. The discussion explores the future directions for the algorithm, shedding light on the potential advancements in the field.

In this episode of the "Mayo Clinic Cardiovascular CME" podcast, guest Joel Xue, Ph.D., leader of the AI group of AliveCor and an adjunct professor of bioinformatics at Emory University, delves into the reduced lead setting for diagnostic ECG interpretation using deep learning models. Join the conversation as host Anthony Kashou, M.D., explores this approach to ECG analysis and how it compares to standard 12-lead ECG analysis.