Cardiovascular diseases are among the leading causes of death worldwide, making the improvement of their diagnosis critical. Machine learning technologies play a central role in analyzing medical data to detect early signs of heart disease more accurately than traditional methods.<br />Machine learning applications rely on analyzing electrocardiograms (ECG), imaging results, and clinical data to predict the risk of heart disease. By analyzing complex patterns in this data, these technologies can detect conditions at early stages, allowing for immediate therapeutic intervention and reducing complication rates.<br />Some applications also use artificial intelligence to continuously monitor heart health through wearable devices, tracking heart rate, physical activity levels, and stress, providing immediate alerts when any abnormalities are detected. This technology not only aids in early diagnosis but also promotes prevention and improves the management of heart diseases in patients.<br />With ongoing innovation in this field, machine learning is expected to become a key tool in improving the diagnosis and treatment of heart diseases, contributing to saving many lives and enhancing healthcare quality.<br /><br /><br />Al-Mustaqbal University is the first University in Iraq.