The healthcare sector is witnessing rapid advancements driven by Artificial Intelligence (AI), which is playing an increasingly important role in medical image analysis and supporting diagnostic procedures. These developments have opened new opportunities for integrating computer engineering and biomedical engineering through the development of intelligent systems that assist physicians in analyzing medical data and identifying potential indicators of disease. How Does Artificial Intelligence Work in Medical Image Analysis? These technologies rely on Machine Learning (ML) and Deep Learning (DL) algorithms, which are trained on datasets of medical images to recognize different patterns and features. These systems are used to process X-ray images, Magnetic Resonance Imaging (MRI) scans, and Computed Tomography (CT) scans. They can identify suspicious regions or provide measurements and supporting information to medical specialists. Key Applications and Benefits Modern applications include supporting the detection of certain breast tumors, analyzing brain and lung images, and assisting in identifying signs of diabetic retinopathy. The MASAI trial, published in The Lancet in 2026, demonstrated promising results for the use of artificial intelligence in supporting breast cancer screening, highlighting the potential of these technologies to improve the performance of certain medical screening procedures. Among the key benefits of artificial intelligence are its ability to process large volumes of medical images, help reduce the time required for specific tasks, and support analytical accuracy in applications whose effectiveness has been scientifically validated. Challenges and Future Perspectives Despite these capabilities, intelligent systems face challenges related to patient data privacy, algorithmic accuracy, and the potential for bias or errors in their results. Therefore, the World Health Organization (WHO) emphasizes the importance of human oversight and verifying system safety before implementing these technologies in clinical practice. This field also presents valuable opportunities for universities to develop research projects that integrate artificial intelligence, computer engineering, and biomedical engineering, thereby promoting innovation and developing technological solutions that serve healthcare institutions. Conclusion Artificial intelligence represents a promising step toward advancing medical image analysis and improving the efficiency of healthcare services, not as a replacement for physicians, but as a technological tool that supports their expertise. Scientific research and collaboration between engineering and medical disciplines remain essential for developing intelligent, safe, and reliable applications that benefit society. Al-Mustaqbal University The First University in Iraq