articleJACC AdvancesJan 20, 2026DIAMOND OA

Artificial Intelligence–Enhanced Electrocardiogram Models for Detection of Left Ventricular Dysfunction

PMPhilip M. CroonMBMachteld BoonstraCPCornelis P. AllaartBKBauke K.O. ArendsLSLovedeep S. Dhingra

Amsterdam University Medical Centers · University of Amsterdam · +10 more institutions

PubMed
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Abstract

Background

Several artificial intelligence-enhanced electrocardiogram (AI-ECG) models have shown promise in detecting left ventricular systolic dysfunction (LVSD), but their head-to-head agreement and performance have not been independently compared within the same cohort.

Objectives

This study aimed to compare the performance of published AI-ECG models for LVSD detection in a standardized external cohort and evaluate the field's transparency and reproducibility.

Citation impact

5
total citations
FWCI
72.04
Percentile
100%
References
49
Too recent for citation history.

Authors

18

Topics & keywords

Topics
Keywords
  • Electrocardiography
  • Artificial neural network
  • Noise (video)
  • Ventricular function
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