Sophia Antipolis, March 20 -- An artificial intelligence (AI)-based method for interpreting ECGs performed better than standard approaches in detecting occlusive myocardial infarction (MI), according to a study presented at ESC Acute CardioVascular Care 2026, the annual congress of the Association for Acute CardioVascular Care (ACVC), a branch of the European Society of Cardiology (ESC).

In patients with suspected acute coronary syndrome (ACS), a specific change on an ECG, called an ST elevation, is an indicator that the patient may have an occlusion in a coronary artery. This type of heart attack is known as an ST-elevation myocardial infarction (STEMI) and it requires immediate percutaneous coronary intervention to restore the heart's ...