About the Podcast
REBEL EM (Rational Evidence-Based Evaluation of Literature in Emergency Medicine) is a popular podcast and blog dedicated to knowledge translation for emergency and critical care clinicians. Hosted by practicing physicians, it critically appraises research and highlights innovations that impact emergency medicine practice.
Summary of the Episode
In this episode, Dr. Marco Propersi and Dr. Joe Bove are joined by Dr. Steve Smith and Dr. Pendell Meyers to discuss the Queen of Hearts™ AI model, a groundbreaking tool designed to improve detection of Occlusion MI (OMI).
- Traditional STEMI criteria miss over half of acute occlusions, leading to delayed or missed interventions.
- The OMI/NOMI paradigm, introduced in the OMI Manifesto, reframes acute MI classification based on whether the artery is truly occluded — a more clinically meaningful approach.
- The Queen of Hearts™ AI model was trained on tens of thousands of ECGs paired with angiographic and clinical outcomes, allowing it to detect subtle OMI patterns often overlooked by physicians or conventional ECG software.
- In validation studies, the AI doubled sensitivity compared to STEMI criteria and detected OMI an average of two hours earlier, without increasing false positives.
- The panel emphasized that while AI cannot replace bedside clinicians, it can act as a powerful adjunct, supporting emergency doctors in high-stakes, time-critical decisions.
“This is the perfect case use for artificial intelligence. Tens of thousands of lives could be saved every year if acute coronary occlusion were diagnosed and treated immediately — and that’s exactly what Queen of Hearts is built to do.”
— Dr. Steve Smith, REBEL EM Podcast
🎧 Listen to the episode: Official page | Spotify | Apple Podcasts
