An AI-powered ECG model correctly identified nearly all patients with acute coronary obstruction and most of those without acute myocardial infarction among patients with suspected STEMI.
Does an AI-powered ECG model accurately identify acute coronary obstruction in patients with suspected STEMI?
An AI-powered ECG analysis tool demonstrates high potential for accurately triaging suspected STEMI by identifying acute coronary obstruction, though prospective validation is needed.
Absolute Event Rate: 0% vs 0%
In suspected STEMI, this AI-ECG model correctly identified nearly all patients with acute coronary obstruction and most of those without AMI. If prospectively validated, this approach could improve management of patients with suspected AMI.
Sharkey et al. (Fri,) reported a other. An AI-powered ECG model correctly identified nearly all patients with acute coronary obstruction and most of those without acute myocardial infarction among patients with suspected STEMI.