Medical image analysis has become one of the most significant fields in which artificial intelligence has created a real revolution, due to the high accuracy and unprecedented speed it provides in disease detection. This technology relies on deep learning algorithms that learn from millions of medical images—such as X-rays, magnetic resonance imaging (MRI), and computed tomography (CT) scans—enabling them to recognize disease patterns with a level of accuracy that sometimes exceeds the human eye. This advancement contributes to the early detection of serious diseases such as cancerous tumors, diabetic retinopathy, heart diseases, and strokes. With the help of artificial intelligence, physicians can receive accurate reports within seconds, which helps improve diagnostic quality and reduce the likelihood of errors. In addition, intelligent systems work to enhance imaging accuracy by reducing noise and improving image quality, making radiological examinations clearer and more effective. These systems can also be integrated with patients’ medical records to provide comprehensive analysis that combines imaging data with clinical information, enabling a deeper understanding of the patient’s condition. AI-powered medical image analysis represents a fundamental pillar in the future of medicine, as it combines speed, accuracy, and the ability to analyze massive data, making healthcare more advanced and effective. Al-Mustaqbal University – The First University in Iraq.