AUTHOR=Papalamprakopoulou Zoi , Stavropoulos Dimitrios , Moustakidis Serafeim , Avgerinos Dimitrios , Efremidis Michael , Kampaktsis Polydoros N. 

TITLE=Artificial intelligence-enabled atrial fibrillation detection using smartwatches: current status and future perspectives

JOURNAL=Frontiers in Cardiovascular Medicine

VOLUME=Volume 11 - 2024

YEAR=2024

URL=https://www.frontiersin.org/journals/cardiovascular-medicine/articles/10.3389/fcvm.2024.1432876

DOI=10.3389/fcvm.2024.1432876

ISSN=2297-055X

ABSTRACT=This mini review is intended for the Research Topic "Artificial Intelligence for Arrhythmia Detection and Prediction". We specifically focus on detection of atrial fibrillation using smartwatches. The review first summarizes the techniques for atrial fibrillation detection and then describes the technical aspects of artificial intelligence algorithms that aim to improve the diagnostic accuracy of smart watches. We then describe the clinical implications of this minimally invasive detection methodology, and specifically which populations may benefit from screening with artificial intelligence-enabled smartwatch detection.