CardiacAI / InformaticsResearch
AI-coronary CTA beats GRACE score for 1-year MACE after emergency PCI for STEMI
Radiology AI literature (PubMed)3d ago
In a 92-patient prospective STEMI cohort, an AI-driven coronary CTA model predicted 1-year MACE (AUC 0.876) significantly better than the GRACE score (AUC 0.742, p=0.012). Key predictors included total plaque volume >400 mm3, low-attenuation plaque, and LV end-diastolic volume c…
- Prospective cohort: n=92 consecutive STEMI patients with AI-assisted CCTA within 7 days post-emergency PCI; 1-year MACE rate was 25%.
- AI-CCTA model sensitivity/specificity: 87.0%/79.7%; strong negative predictive value (93.6%) may help de-escalate follow-up.
- Single-center study; small sample size and lack of external validation limit generalizability.
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