Why the study?
Traditional interpretations of electrocardiograms exhibit limited sensitivity and reproducibility for cardiovascular disease diagnosis, prompting an evaluation of recent advances in artificial intelligence applied to ECG analysis.
Does artificial intelligence applied to ECG analysis improve cardiovascular disease detection compared to traditional methods?
Population
Over 100 studies from 2019 to 2025 evaluating AI applications for CVD detection
Comparison
AI-applied ECG analysis vs traditional ECG interpretation methods
Design
Systematic review
Authors
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Supports integration of AI-ECG into clinical practice for improved detection; extends evidence to real-time wearable monitoring amid bias concerns.
Does artificial intelligence applied to ECG analysis improve cardiovascular disease detection compared to traditional methods?
AI-enhanced ECG analysis outperforms traditional interpretation for detecting cardiovascular diseases, particularly for subclinical conditions, though dataset diversity and bias remain key challenges.
Velandia et al. (2025) studied this question.
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