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Diagnostic Accuracy of Artificial Intelligence for Arrhythmia Detection Using the 12-Lead Electrocardiogram: A Systematic Review and Meta-Analysis

2026-02-11

Abstract excerpt

<h4>Background</h4> Artificial intelligence (AI) has emerged as a promising tool for interpreting 12-lead electrocardiograms (ECGs), with the potential to enhance diagnostic accuracy for arrhythmia detection. However, published studies vary widely in methodology and validation strategy, warranting a quantitative synthesis of diagnostic performance. <h4>Methods</h4> A systematic review and meta-analysis was condu...

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Literature Corpus work
78d4339a-7cb6-5bb2-82b6-e4055990d6d4
DOI
10.64898/2026.02.06.26345251
Open publication

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Diagnostic Accuracy of Artificial Intelligence for Arrhythmia Detection Using the 12-Lead Electrocardiogram: A Systematic Review and Meta-AnalysisDOI 10.64898/2026.02.06.26345251
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