Guest: Francisco Lopez-Jimenez, MD
Host: Anthony H. Kashou, MD
Overview:
There have been many current developments concerning AI-ECG, with some algorithms capable of establish widespread and really related medical situations like CAD and diastolic disfunction.
There are main limitations implementing AI-ECG, together with regulatory, technical and clinician-related. Algorithms meant to detect uncommon illnesses, when used indiscriminately, might result in many false constructive outcomes.
The way forward for AI-ECG is optimizing its implementation by way of seamless integration in workflows, use of level of care or wearables getting ECG alerts, and utilizing multimodality AI, the place AI-ECG could be simply one in every of a number of alerts used to detect cardiac and non-cardiac situations, getting older, and to foretell cardiovascular occasions.
Questions:
What is new on AI ECG lately? What new algorithms have been developed that you just see might change scientific apply sooner or later? (though structured as 2 questions, its truly one)
What are the main limitations utilizing AI-ECG in scientific apply?
What do you assume is the way forward for AI-ECG?
