Abstract :

Artificial Intelligence (AI) has emerged as a powerful tool in modern healthcare, particularly in the early detection of cardiac events. Cardiovascular diseases remain one of the leading causes of death worldwide, and many cardiac events occur suddenly without prior symptoms. Traditional diagnostic approaches depend heavily on clinical expertise and periodic testing, which often fail to provide timely predictions. AI enables predictive diagnostics by analyzing large volumes of physiological data such as electrocardiograms, heart rate variability, and vital signs. Machine learning and deep learning models can identify subtle abnormalities and hidden patterns that are not easily detectable by human interpretation. The integration of wearable devices allows continuous real-time monitoring of patients, improving early warning capabilities. AI-based systems reduce false alarms, support personalized risk assessment, and enhance clinical decision-making. This predictive diagnostic approach pr