10/11/2025
PMcardio Detects Novel AI ECG-Based Features of Microvascular Obstruction in Anterior STEMI Patients
Microvascular obstruction (MVO) following reperfusion with PCI in ST-segment elevation myocardial infarction (STEMI) is a key driver of poor prognosis, associated with adverse left ventricular remodeling, major adverse cardiac events, and mortality. Traditionally, MVO detection relies on gadolinium-based cardiac MRI, which, while accurate, is costly, time-consuming, and not universally available at STEMI centers.
Now, a study led by Dr. Jay H. Traverse from the Minneapolis Heart Institute, simultaneously published in Circulation: Cardiovascular Interventions, demonstrates that PMcardio’s AI-powered ECG analysis can identify ECG-based features of MVO with strong predictive performance. This AI model achieved an AUC of 0.83 with a specificity of 94% and sensitivity of 60%, offering a rapid and noninvasive alternative to MRI-based diagnosis.
By detecting MVO directly from ECGs, PMcardio enables real-time risk stratification and more informed treatment decisions in acute STEMI care. This breakthrough highlights how AI can extend advanced cardiovascular insights to the point of care, driving the future of precision cardiology.
