Arrhythmias & electrophysiology

Enhanced detection of atrial fibrillation in single-lead electrocardiograms using a Cloud-based artificial intelligence platform

Heart RhythmPublished external validation

Authors' conclusion

The result of this external validation indicates that the AI platform can match cardiologist-level accuracy in AF detection from 1-lead ECGs. Such tools are promising for AF screening and have the potential to improve accuracy in noncardiology expert health care professional interpretation and trigger further tests for effective patient management.

Study context

Population
Patients with 30-second electrocardiogram (ECG) records from a single-lead handheld ECG devicepatients analyzed
Participants
8,528 patients
Index test or model
Willem Artificial Intelligence (AI) platform (and a rules-based algorithm) against ground truth established through a benchmark algorithm and expert manual labeling
Target condition
atrial fibrillation (AF)
Methodological detailsCloud-based deep-learning platform, not trained on these ECGs
  • Cloud-based deep-learning platform
  • Not trained on these ECGs

Performance

As reported in the abstract

Test or modelSensitivitySpecificityPositive predictive valueNegative predictive valueAccuracy
AI platform (initial labels)83.3%97.3%75.2%98.4%96.1%
AI platform (expert review)84.2%97.6%78.0%98.4%96.4%

Sensitivity

AI platform (initial labels)83.3%
AI platform (expert review)84.2%

Specificity

AI platform (initial labels)97.3%
AI platform (expert review)97.6%

Positive predictive value

AI platform (initial labels)75.2%
AI platform (expert review)78.0%

Negative predictive value

AI platform (initial labels)98.4%
AI platform (expert review)98.4%

Accuracy

AI platform (initial labels)96.1%
AI platform (expert review)96.4%

Further findings

AI platform vs rules-based algorithm

Performance of the AI platform largely exceeded the performance of the rules-based algorithm for all metrics

Other arrhythmias

The AI also detected other arrhythmias, such as premature ventricular complexes, premature atrial complexes along with 1-degree atrioventricular blocks

Original publication

Enhanced detection of atrial fibrillation in single-lead electrocardiograms using a Cloud-based artificial intelligence platform. Heart Rhythm. Published 10 January 2025. doi:10.1016/j.hrthm.2024.12.048

Composed by AI from the published abstract and checked against it. How Briefs are made →

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