The medical sector is experiencing rapid development as a result of integrating artificial intelligence into various areas of healthcare. Artificial intelligence has become an important tool for supporting physicians and researchers in analyzing information and making medical decisions. Many AI applications rely on analyzing large volumes of medical data and identifying patterns and useful insights. AI contributes to the development of disease diagnosis technologies and the early detection of certain medical conditions. It can also be used to analyze medical images, including X-rays and magnetic resonance imaging, to support diagnosis. Its applications extend to drug development and the discovery of new therapeutic compounds. AI can also contribute to disease monitoring, public health systems, and responses to disease outbreaks. These technologies provide opportunities to develop treatment plans based on patients’ individual health data and characteristics. Another modern application involves using intelligent models to analyze electronic medical records. Such technologies help researchers process medical data more efficiently and systematically. Despite these opportunities, the use of AI in medicine involves several important challenges. Protecting medical data privacy and ensuring information security are among the major concerns. It is also essential to ensure the accuracy of AI systems and reduce potential bias in the data used to train them. The World Health Organization emphasizes the importance of ethical and governance frameworks to ensure that AI is used safely and equitably. Therefore, AI should serve as a supportive tool for healthcare professionals rather than replace human expertise and medical judgment.