Artificial intelligence and atrial fibrillation: A bibliometric analysis from 2013 to 2023.

ABSTRACT: In the study of atrial fibrillation (AF), a prevalent cardiac arrhythmia, the utilization of artificial intelligence (AI) in diagnostic and therapeutic strategies holds the potential to address existing limitations. This research employs bibliometrics to objectively investigate research hotspots, development trends, and existing issues in the application of AI within the AF field, aiming to provide targeted recommendations for relevant researchers. Relevant publications on the application of AI in AF field were retrieved from the Web of Science Core Collection (WoSCC) database from 2013 to 2023. The bibliometric analysis was conducted by the R (4.2.2) "bibliometrix" package and VOSviewer(1.6.19). Analysis of 912 publications reveals that the field of AI in AF is currently experiencing rapi

SUBMITTER: Jia B 

PROVIDER: S-EPMC11328043 | biostudies-literature | 2024 Aug

REPOSITORIES: biostudies-literature