AI ECG Updates

AI ECG Updates   Guest: Francisco Lopez-Jimenez, M.D., M.S.  Host: Anthony H. Kashou, M.D.    There have been many recent developments regarding AI-ECG, with some algorithms able to identify common and very relevant medical conditions like CAD and diastolic disfunction. There are major limitations implementing AI-ECG, including regulatory, technical and clinician-related. Algorithms meant to detect rare diseases, when used indiscriminately, may lead to many false positive results. The future of AI-ECG is optimizing its implementation through seamless integration in workflows, use of point of care or wearables getting ECG signals, and using multimodality AI, where AI-ECG would be just one of several signals used to detect cardiac and non-cardiac conditions, aging, and to predict cardiovascular events.    Topics Discussed: What is new on AI ECG these days? What new algorithms have been developed that you see may change clinical practice in the future? (although structured as 2 questions, its actually one) What are the major limitations using AI-ECG in clinical practice? What do you think is the future of AI-ECG? Connect with Mayo Clinic's Cardiovascular Continuing Medical Education online at https://cveducation.mayo.edu or on Twitter @MayoClinicCV and @MayoCVservices. LinkedIn: Mayo Clinic Cardiovascular Services 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.