Electrocardiography (ECG) has long been a key diagnostic tool for detecting heart conditions. Traditionally, ECG interpretation depended heavily on trained medical professionals analyzing wave patterns manually. While effective, this approach can be time-consuming and may miss subtle abnormalities, especially during early stages of heart disease. Artificial intelligence (AI) is now transforming how ECG data is analyzed and used in healthcare. AI-powered ECG systems use machine learning algorithms trained on large datasets of heart signal... read full review »