CV Podcast: Reduced Lead Setting for Diagnostic ECG Interpretation Using Deep Learning Models
Reduced Lead Setting for Diagnostic ECG Interpretation Using Deep Learning Models
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.
During this episode, Dr. Xue and Dr. Kashou discuss:
Stay up to date on the latest cardiology topics and never miss an episode of the “Mayo Clinic Cardiovascular CME” podcast by downloading the Mayo Clinic Cardiovascular CME app. Download it for free today from the Apple or Google app store.