… The present article reviews the state of the art of machine learning algorithms for the … of
atrial fibrillation (AF), as well as of the development and evaluation of artificial intelligence (AI) in …

… In the context of atrial fibrillation (AF), traditional clinical … Novel approaches leveraging
artificial intelligence have the … AF, atrial fibrillation; AI, artificial intelligence; AUC, area under …

… We developed an artificial intelligence (AI)-enabled … the electrocardiographic signature of
atrial fibrillation present during … of atrial fibrillation or atrial flutter as positive for atrial fibrillation. …

… most common clinically relevant cardiac arrhythmia associated with multiple comorbidities,
cardiovascular complications (eg stroke) and increased mortality. As artificial intelligence (AI) …

… Atrial Fibrillation (AF) is a type of arrhythmia characterized by … those who reported studies
using Artificial Intelligence (AI) for … %), six of them used machine learning methods (50%) and …

Although atrial fibrillation (AF) is the most common cardiac arrhythmia, its early identification, …
Artificial intelligence (AI) algorithms are particularly well suited for treating high-dimensional …

… An artificial intelligence (AI) algorithm applied to electrocardiography during sinus rhythm
has recently been shown to detect concurrent episodic atrial fibrillation (AF). We sought to …

… AFIB’ describes the AFIB features, follow by a discussion of AFIB classification focusing on
artificial intelligence (AI) in the Section ‘Classification Method for AFIB’. The current common …

… are patients with atrial fibrillation. In … of artificial intelligence models. Therefore, this paper
used various ECG characteristics parameters of atrial fibrillation to perform artificial intelligence …

… advancement of artificial intelligence and machine learning, the … in artificial intelligence in
diagnosing atrial fibrillation. We believe … , the diagnosis of atrial fibrillation shall be made more …