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editorial

. 2022 Jun 20;3(2):205–207. doi: 10.1093/ehjdh/ztac032

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© The Author(s) 2022. Published by Oxford University Press on behalf of the European Society of Cardiology.

This is an Open Access article distributed under the terms of the Creative Commons Attribution-NonCommercial License (https://creativecommons.org/licenses/by-nc/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is properly cited. For commercial re-use, please contact journals.permissions@oup.com

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Overview of artificial intelligence-guided atrial fibrillation screening. Depicted is a summary of artificial intelligence-guided atrial fibrillation screening, the overall concept assessed in the PULsE-artificial intelligence study. The top panel provides an overview of the concept of artificial intelligence-enabled atrial fibrillation risk estimation to guide screening, in which only individuals who are estimated to have elevated atrial fibrillation risk using artificial intelligence are offered the screening intervention. The bottom panel highlights several challenges associated with artificial intelligence-based atrial fibrillation screening, with potential solutions proposed below.