Point-of-care artificial intelligence-enabled ECG for dyskalemia: a retrospective cohort analysis for accuracy and outcome prediction

Abstract Dyskalemias are common electrolyte disorders associated with high cardiovascular risk. Artificial intelligence (AI)-assisted electrocardiography (ECG) has been evaluated as an early-detection approach for dyskalemia. The aims of this study were to determine the clinical accuracy of AI-assis...

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Bibliographic Details

Published in:	npj Digital Medicine
Main Authors:	Chin Lin, Tom Chau, Chin-Sheng Lin, Hung-Sheng Shang, Wen-Hui Fang, Ding-Jie Lee, Chia-Cheng Lee, Shi-Hung Tsai, Chih-Hung Wang, Shih-Hua Lin
Format:	Article
Language:	English
Published:	Nature Portfolio 2022-01-01
Online Access:	https://doi.org/10.1038/s41746-021-00550-0