Artificial Intelligence to Detect Heart Disease Using Wearables: The Mayo Apple Watch Study
Mayo Clinic Cardiovascular CME - Un podcast de Mayo Clinic - Les mardis

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Artificial Intelligence to Detect Heart Disease Using Wearables: The Mayo Apple Watch Study Guest: Paul A. Friedman (@drpaulfriedman) and Itzhak Zachi Attia, Ph.D. Host: Kyle W. Klarich, M.D. (@KyleWKlarich) Joining us today to discuss the use of artificial intelligence to detect heart disease is Dr. Paul A. Friedman, M.D., Chair of the Department of Cardiology, and Dr. Itzhak Zachi Attia, Ph.D., Co-Director of Artificial Intelligence in the Department of Cardiology at Mayo Clinic in Rochester Minnesota. Dr. Itzhak Zachi Attia is an expert in Heart Rhythm Services and specializes in artificial intelligence. Specific topics discussed: You recently completed a study using apple watches in Mayo patients -- what was the purpose, what did you do, and why apple watch? Can the ECGs be seen by the subject providers or only by the research team? Did you need to change the AI model to allow it to work on a single lead and what was the final result? What do you see as next steps and future directions? Connect with Mayo Clinic's Cardiovascular Continuing Medical Education online at https://cveducation.mayo.edu or on Twitter @MayoClinicCV. NEW Cardiovascular Education App:The Mayo Clinic Cardiovascular CME App is an innovative educational platform that features cardiology-focused continuing medical education wherever and whenever you need it. Use this app to access other free content and browse upcoming courses. Download it for free in Apple or Google stores today! No CME credit offered for this episode. Podcast episode transcript found here.