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. 2022 Aug 20;12:14235. doi: 10.1038/s41598-022-18640-8

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© The Author(s) 2022, corrected publication 2022

Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/.

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Forest plot depicting AUC values (95% confidence interval) of the DeepECG-HFrEF algorithm in identifying LVSD in different subpopulation. The forest plot of DeepECG-HFrEF algorithm showed similar performance among various clinical parameters. AUC area under the receiver-operator characteristic curve, BNP B-type natriuretic peptide, EF ejection fraction, eGFR estimated glomerular filtration rate, HF heart failure, LAD left axis deviation, RAD right axis deviation.