Diagnostic Accuracy of Artificial Intelligence for Detecting ST-Elevation Myocardial Infarction on 12-Lead Electrocardiograms: A Systematic Review and Meta-Analysis
Artificial intelligence (AI) may improve electrocardiographic detection of ST-elevation myocardial infarction (STEMI), but available studies address distinct diagnostic questions. We systematically reviewed studies evaluating AI-based STEMI detection from 12-lead electrocardiograms and separately synthesized AI performance against a clinical reference standard, AI and clinician performance against a clinical reference, and AI agreement with physician electrocardiogram (ECG) interpretation. PubMed, Embase, Web of…
Across 8 studies comparing both against a clinical reference, AI had higher sensitivity for STEMI than clinicians (0.91 versus 0.78) at equal specificity of 0.91.
The authors note that available studies address distinct diagnostic questions, so results were synthesised separately; the comparisons with clinicians rest on only 8 studies and confidence intervals for some estimates are wide.
Evidence
- Peer-reviewedCardiology in Review2026-10-29
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Truvace Impact Record TRV-2026-2312, v1: “Diagnostic Accuracy of Artificial Intelligence for Detecting ST-Elevation Myocardial Infarction on 12-Lead Electrocardiograms: A Systematic Review and Meta-Analysis.” Truvace, 2026-10-29. /record/TRV-2026-2312 (accessed at citation time). sha256 bfad664e7951db5e…
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