Research output of artificial intelligence in arrhythmia from 2004 to 2021: a bibliometric analysis

Abstract

The utility of deep learning in diagnostics and the prognostication of arrhythmia has been gaining traction over the years, covering areas from electrocardiogram detection to atrial arrhythmogenesis model construction. Our study revealed the trend of topics from 2004 to 2021, which may help researchers to monitor future trends.