About the Podcast
The Mayo Clinic Cardiovascular CME Podcast brings leading experts together to discuss the latest advances in cardiology, from foundational concepts to cutting-edge innovations. Hosted by Dr. Anthony H. Kashou, the show provides clinicians with practical insights that can directly improve patient care.
Summary of the Episode
In this episode, Dr. Kashou speaks with Dr. Pendell Meyers (Atrium Health, co-editor of Dr. Smith’s ECG Blog) about the paradigm shift from STEMI/NSTEMI to OMI vs non-OMI and the role of artificial intelligence in making this transition possible.
- Why OMI matters: Many NSTEMI patients actually have occluded arteries, which leads to delayed or missed interventions and higher mortality.
- Queen of Hearts™ AI model: Trained on >18,000 ECGs, it can analyze both digital ECG files and even bedside smartphone photos, predicting OMI with high accuracy.
- Validation results: In a multicenter study of 2,263 patients, Queen of Hearts achieved 83% sensitivity and 93% specificity, far outperforming STEMI criteria (34% sensitivity). Accuracy matched expert human interpreters (~91%).
- False positives vs STEMI criteria: While Queen of Hearts had more “false positives” by strict definitions, many of these patients still had meaningful disease — including acute MI requiring PCI — making them clinically valuable activations.
- Next steps: Ongoing external validations, FDA submission, and the design of randomized controlled trials to prove patient-centered benefits of the OMI paradigm.
“Queen of Hearts achieved double the sensitivity of STEMI criteria and perfect interrater reliability — meaning anyone, anywhere, can apply it with expert-level accuracy.”
— Dr. Pendell Meyers, Mayo Clinic Cardiovascular CME
🎧 Listen to the episode: Official page
