October 1, 2025Journal of the American College of Cardiology
TCT-203 AI-Powered ECG Interpretation Enables Earlier STEMI Identification and Reduces False-Positive Activations in a U.S. Multicenter Registry
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“AI-EKG analysis has the potential to reduce false activation by up to fourfold. It has the opportunity to identify more STEMI patients on the index EKG, which will significantly lower time to treatment, and it can reduce site variability.”
“These results indicate that AI-enhanced STEMI diagnosis at the first medical contact has the potential to shorten time to treatment and reduce false activations. This technology may be especially valuable in optimizing the transfer of STEMI patients from non-PCI centers to ensure timely and appropriate care.”
“These results demonstrate the potential of AI-based applications to transform emergency cardiovascular care. By improving triage accuracy, we can ease the burden on clinical teams, minimize false positives and ensure that patients who truly need urgent intervention receive it without delay.”
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Cite This Study
Herman et al. (2025) studied this question.