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)

LinkedIn: Mayo Clinic Cardiovascular Services

Podcast episode transcript found here.