AI Improves Heart Attack Detection in Emergency Rooms

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A major safety study led by researchers at UC Davis Health has found that an artificial intelligence (AI) powered electrocardiogram (ECG) model can significantly improve the detection of severe heart attacks (STEMI) in emergency department settings. The platform, known as "Queen of Hearts," outperformed traditional triage methods, identifying STEMI heart attacks more accurately while also reducing the number of false alarms.

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This advancement has the potential to transform emergency cardiovascular care by improving triage accuracy, easing the burden on clinical teams, and ensuring patients receive timely and urgent intervention. The findings were recently published in JACC: Cardiovascular Interventions and presented at the 2025 Transcatheter Cardiovascular Therapeutics (TCT) conference.