Artificial intelligence is increasingly used in medical data analysis, and ECG interpretation is one of its most impactful applications. ECG signals contain complex electrical patterns that reflect heart function, making them ideal for AI-based pattern recognition. AI systems analyze ECG data using algorithms trained on thousands of recorded heart signals. These algorithms learn to recognize normal and abnormal patterns, allowing faster and more detailed analysis compared to traditional methods. This capability supports early detection of heart rhythm disorders and improves clinical decision-making.