AI ECG Updates

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Published
Guest: Francisco Lopez-Jimenez, MD
Host: Anthony H. Kashou, MD

Overview:
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.

Questions:
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?
Category
Cardiology
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