Artificial intelligence in the diagnosis and management of arrhythmias.

ABSTRACT: The field of cardiac electrophysiology (EP) had adopted simple artificial intelligence (AI) methodologies for decades. Recent renewed interest in deep learning techniques has opened new frontiers in electrocardiography analysis including signature identification of diseased states. Artificial intelligence advances coupled with simultaneous rapid growth in computational power, sensor technology, and availability of web-based platforms have seen the rapid growth of AI-aided applications and big data research. Changing lifestyles with an expansion of the concept of internet of things and advancements in telecommunication technology have opened doors to population-based detection of atrial fibrillation in ways, which were previously unimaginable. Artificial intelligence-aided advances in 3D ca

SUBMITTER: Nagarajan VD 

PROVIDER: S-EPMC8497074 | biostudies-literature | 2021 Oct

REPOSITORIES: biostudies-literature