AI breakthrough could spot hidden heart attacks in patients with tricky ECG patterns

This study is testing whether a computer program (machine learning) can help doctors diagnose severe heart attacks in patients who have a heart condition called left bundle branch block (LBBB). LBBB can hide the usual signs of a heart attack on an ECG, making it hard to tell if an artery is blocked. The AI will analyze ECG signals to find tiny patterns that humans might miss, and its results will be checked against the gold-standard test (angiography). The goal is to see if this tool can reduce unnecessary invasive procedures while catching real heart attacks faster.