The healthcare sector is undergoing rapid transformation as a result of significant advances in artificial intelligence and modern medical technologies. Intelligent systems are increasingly capable of analysing large amounts of medical data, supporting the diagnosis and detection of diseases with greater speed and accuracy. This contributes to improving the quality of healthcare services and reducing the possibility of medical errors. Artificial intelligence has become particularly important in medical imaging. It can be used to analyse X-ray, computed tomography (CT), and magnetic resonance imaging (MRI) scans, helping healthcare professionals identify abnormal findings at an early stage. At the same time, advances in medical devices, robotics, and telemedicine are expanding access to healthcare and making medical services more efficient and accessible. In the future, healthcare is expected to become increasingly dependent on digital systems and intelligent technologies, with greater emphasis on prevention, early diagnosis, and personalised treatment based on individual patient characteristics. However, achieving this transformation requires well-trained professionals, advanced infrastructure, and appropriate regulations to ensure the safe, ethical, and responsible use of medical data and emerging technologies. The integration of medical expertise with artificial intelligence does not mean replacing healthcare professionals. Instead, it aims to enhance their ability to make informed decisions and provide more accurate and efficient patient care. Therefore, investment in education, scientific research, and modern medical technologies is essential for building a more advanced, efficient, and sustainable healthcare system for the future.