AI-ECG to Detect Cardiac Amyloidosis: Strengths, Limitations, and Future Directions

AI-ECG to Detect Cardiac Amyloidosis: Strengths, Limitations, and Future Directions Guests: David M. Harmon, Jr. M.D. Hosts: Anthony H. Kashou, M.D. (@anthonykashoumd) Joining us today to discuss using AI-ECG to detect cardiac amyloidosis is David M. Harmon, Jr. M.D., cardiology fellow at Mayo Clinic Rochester, Minnesota. Dr. Harmon’s research interests include the clinical application of artificial intelligence electrocardiography and assessing the utility of AI algorithms on wearable devices. Tune in to learn about using AI-ECG to detect cardiac amyloidosis. Specific topics discussed: Can you share a little background as to why AI-ECG for cardiac amyloidosis screening? What are some of the most surprising results of your validation study? What are the biggest limitations you found in this work? What are some next steps for this algorithm? Connect with Mayo Clinic's Cardiovascular Continuing Medical Education online at https://cveducation.mayo.edu or on Twitter @MayoClinicCV and @MayoCVservices. Facebook: MayoCVservices LinkedIn: Mayo Clinic Cardiovascular Services 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.