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The Cardiovascular CME podcast is a new educational offering from Mayo Clinic, featuring content geared towards physicians, physician assistants, and nurse practitioners who are interested in exploring a multitude of cardiology-related topics. Tune in and subscribe to explore today’s most pressing cardiology topics with your colleagues at Mayo Clinic and gain valuable insights that can be directly applied to your practice. No CME credit offered for podcast episodes at this time.
Episodes
Thursday Mar 30, 2023
Thursday Mar 30, 2023
Reduced Lead Setting for Diagnostic ECG Interpretation Using Deep Learning Models
Guests: Joel Xue, Ph.D.
Hosts: Anthony H. Kashou, M.D. (@anthonykashoumd)
Joining us today to discuss what reduced-lead ECG analysis is, it's clinical value, some of its challenges, and how it compares to standard 12-lead ECG analysis is Joel Xue, Ph.D. Dr. Xue currently leads the AI group of AliveCor and is an adjunct professor of Bioinformatics department at Emory University, Atlanta, Georgia. Tune in to learn about using Deep learning models to reduce lead setting for diagnostic ECG interpretation.
Specific topics discussed:
- What is reduced-12-lead ECG, and what is its clinical value?
- What are the main challenges for the reduced lead ECG analysis?
- How the Deep learning model method can be applied to reduced lead ECG analysis?
- Are the analysis performance comparable to the standard 12-lead ECG analysis?
- Next steps R&D and clinical use.
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No CME credit offered for this episode.
Podcast episode transcript found here.