In the STEMI paradigm, the disease (acute coronary occlusion) is defined and named after one element (ST elevation, without regard to the remainder of the QRST) of one imperfect test (the ECG). This leads to delayed reperfusion for patients with acute coronary occlusion whose ECGs don't meet STEMI criteria. In this editorial, we elaborate on the article by Jose Nunes de Alencar Neto about applying Bayesian reasoning to ECG interpretation. The Occlusion MI (OMI) paradigm offers evidencebased advances in ECG interpretation, expert-trained artificial intelligence, and a paradigm shift that incorporates a Bayesian approach to acute coronary occlusion.

在 STEMI 范式中，疾病（急性冠状动脉闭塞）是根据一项不完善测试（心电图）的一个要素（ST 抬高，不考虑 QRST 的其余部分）来定义和命名的。这会导致心电图不符合 STEMI 标准的急性冠状动脉闭塞患者的再灌注延迟。在这篇社论中，我们详细阐述了 Jose Nunes de Alencar Neto 关于将贝叶斯推理应用于心电图解释的文章。闭塞 MI (OMI) 范式在心电图解释、经过专家培训的人工智能以及采用贝叶斯方法解决急性冠状动脉闭塞的范式转变方面提供了基于证据的进步。