Reduced Lead Setting for Diagnostic ECG Interpretation Using Deep Learning Models

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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