Abstract
Introduction : Breast cancer screening has played a key role in the early detection of the disease and reduction of mortality rates. Modern technologies have significantly changed screening methods, enhancing diagnostic outcomes and expanding research capabilities. Objective : Тo review contemporary approaches to screening, with a focus on the use of artificial intelligence (AI), which promises improved diagnostics and presents new challenges in clinical practice. Materials and Methods : The analysis covers a variety of scientific publications and clinical data, including traditional methods such as mammography, and the latest developments in ultrasound and magnetic resonance imaging, as well as the contribution of AI. Results : AI can significantly increase the accuracy of mammographies and other screening methods, minimizing false positives and enhancing the customization of procedures. Discussion : The discussion emphasizes the role of AI in improving screening efficiency, although there are still questions related to ethics and data confidentiality. Conclusion : The implementation of AI in breast cancer screening opens new prospects for diagnosis and treatment, requiring further research and development of regulatory measures.