aceDiagnostic performance of the ECG-SMART AI score for detecting angiographically significant coronary artery disease in patients undergoing elective coronary angiography
The 12-lead ECG is central to the evaluation of patients with suspected coronary artery disease (CAD) but has limited diagnostic accuracy for identifying significant obstructive disease prior to elective coronary angiography. We previously developed an artificial intelligence-enhanced ECG (AI-ECG) model for detecting acute coronary occlusion. Whether this model generalizes to identifying angiographically significant CAD in symptomatic patients undergoing elective evaluation remains unknown. In this prospective c…
An AI-ECG model first built for acute coronary occlusion identified angiographically significant coronary artery disease in symptomatic outpatients with good discrimination, adding noninvasive information to pretest assessment.
The model was tested offline in a single tertiary-center cohort, and the authors frame it only as a possible complement to clinical assessment, so broader generalizability and clinical impact remain unproven.
Evidence
- Peer-reviewedPLOS Digital Health2026-10-08
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Truvace Impact Record TRV-2026-1712, v1: “Diagnostic performance of the ECG-SMART AI score for detecting angiographically significant coronary artery disease in patients undergoing elective coronary angiography.” Truvace, 2026-10-17. /record/TRV-2026-1712 (accessed at citation time). sha256 b90d4a7d7796bb60…
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