CoDE-ACS AI Tool Improves Heart Attack Triage Across International Study

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Researchers at the University of Edinburgh report that artificial intelligence can effectively rule out a heart attack in emergency patients with accuracy of 99.6 percent. The findings appear in Nature Medicine and are part of a broader effort to apply machine learning to critical triage decisions in urgent care settings. The study outlines how a decision support tool, named CoDE-ACS, was trained and validated to assist clinicians in rapidly distinguishing heart attack from other conditions presenting with chest pain, potentially speeding up treatment for those who need it while reducing unnecessary interventions for others.

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