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ECG
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"electrocardiogram"[MeSH Terms] AND "interpretation"
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ECG interpretation systematic review meta-analysis 2024 2025
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ECG interpretation accuracy
Here are the most relevant recent systematic reviews and meta-analyses on ECG interpretation (2023–2026):
ECG Interpretation — Systematic Reviews & Meta-Analyses
🤖 AI & Machine Learning in ECG Interpretation
| # | Title | Journal | Year | PMID |
|---|---|---|---|---|
| 1 | Machine learning for diagnosis of ACS using 12-lead ECG | CJEM | 2023 | 37665551 |
| 2 | AI-driven ECG interpretation in valvular heart diseases | Am J Cardiol | 2024 | 38103769 |
| 3 | CNN-based ECG in diagnosis of hypertrophic cardiomyopathy | J Electrocardiol | 2025 | 39919503 |
| 4 | Machine & deep learning for ECG beat classification | Front Digit Health | 2025 | 41395626 |
| 5 | AI in cardiology — systematic review | Ig Sanita Pubbl | 2025 | 41385467 |
| 6 | ML for left ventricular hypertrophy detection via ECG | J Med Internet Res | 2026 | 41773691 |
| 7 | ML algorithms in ECG-based sleep apnea detection | Sleep Med Rev | 2025 | 40349509 |
🫀 Clinical ECG Interpretation
| # | Title | Journal | Year | PMID |
|---|---|---|---|---|
| 8 | ST-segment elevation accuracy for acute coronary occlusion | Int J Cardiol | 2024 | 38382857 |
| 9 | Eye-tracking technology in ECG interpretation research | Eur J Med Res | 2025 | 41351172 |
| 10 | ECG screening in athletes: sport, age & gender variations | Rev Cardiovasc Med | 2025 | 40475715 |
Key trends in recent literature:
- A dominant focus on AI/ML accuracy for automated ECG reading — particularly for arrhythmia detection, ACS, and cardiomyopathy diagnosis.
- Growing interest in how clinicians read ECGs (eye-tracking studies) to improve teaching and reduce errors.
- Athlete ECG screening as a specific high-interest area with unique interpretation criteria.
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