PMcardio, a leader in AI-powered heart diagnostics, has announced groundbreaking results for its Queen of Hearts™ algorithm in detecting acute heart attacks, specifically ST-segment elevation myocardial infarctions (STEMIs), in a major multi-center U.S. validation study. Presented at the Transcatheter Cardiovascular Therapeutics (TCT) 2025 conference and published in JACC: Cardiovascular Interventions, the findings demonstrate that the AI tool significantly improves both diagnostic accuracy and reduces false alarms—achieving a rare balance between sensitivity and specificity. In one of the largest real-world studies of its kind, researchers from Harvard’s Beth Israel Deaconess Medical Center, UC Davis, and UTHealth evaluated over 1,000 patients presenting with suspected acute heart attacks. The Queen of Hearts™ AI correctly identified 92% of true STEMIs on the first electrocardiogram (ECG)—a substantial improvement over the standard triage method, which detected only 71%. Equally impressive, the AI reduced false alarms from 42% to just 8%, a fivefold decrease. This reduction in unnecessary alarms could prevent patients from undergoing costly and invasive procedures like emergency angioplasty when not needed. Dr. Timothy D. Henry, Director of Clinical Research at The Christ Hospital in Cincinnati, emphasized the clinical impact: “These results show that AI ECG analysis can help clinicians diagnose heart attacks faster and more accurately, getting patients to treatment sooner.” He highlighted the critical importance for patients transferred from smaller or rural hospitals—where only 17% currently receive timely treatment due to limited access to cardiac catheterization labs. The findings are reinforced by early results from the ongoing DIFOCCULT-3 clinical trial, the largest randomized study of AI in cardiology to date. Enrolling 6,000 patients across 18 hospitals in Turkey, the trial shows that patients in the AI-assisted group received treatment up to five hours faster than those in the control group. These patients also experienced improved short-term outcomes, with long-term survival data expected next year. Dr. Robert Herman, PhD, Chief Medical Officer and Co-Founder of Powerful Medical, parent company of PMcardio, noted that up to 40% of heart attacks present with atypical ECG patterns that are difficult to detect using traditional methods. “Our technology helps ensure these patients receive lifesaving care in time,” he said. The Queen of Hearts™ algorithm is trained on millions of ECGs and goes beyond simple detection by providing visual explanations. It highlights the specific segments of the ECG that most influenced its decision, increasing transparency and helping clinicians understand, trust, and act on the AI’s findings. Together, the real-world validation and randomized trial data underscore the transformative potential of AI in emergency cardiac care. By improving early detection, reducing unnecessary interventions, and accelerating treatment, the technology has the potential to save thousands of lives worldwide—especially in underserved and resource-limited settings. The success of the Queen of Hearts™ algorithm signals a new era in cardiology, where AI is not a replacement for physicians but a powerful tool to enhance clinical decision-making, reduce diagnostic delays, and improve patient outcomes. As the technology continues to be tested and refined, it may become a standard component of emergency cardiac care, reshaping how heart attacks are identified and managed in real time.