Background: Breast cancer remains a significant global health challenge. Recent advancements in this field are marked by the integration of nanotechnology and artificial intelligence (AI) in its diagnosis and treatment. This review explores the potential of laser-synthesized nano-silver particles and the application of AI in health care, with a particular focus on breast cancer therapy. Method: The study begins with a comprehensive discussion of nanomaterials, emphasizing the unique properties and applications of nano-silver particles and their associated health risks. It provides an overview of breast cancer, including its global impact and the currently available treatments. The role of AI in health care is then analyzed, highlighting its contributions to cell analysis, cancer cell identification, and patient data processing. The review also examines the intersection of AI and breast cancer research, particularly deep learning and convolutional neural networks (CNN) for automated diagnosis and cell image processing. Additionally, the study identifies existing gaps in knowledge and proposes directions for future research. Conclusion: The convergence of nano-silver particles and artificial intelligence offers transformative potential in breast cancer care, enabling enhanced diagnostic precision, targeted therapy, and improved patient outcomes. However, critical challenges remain, including addressing long-term biocompatibility, mitigating environmental impacts, ensuring data privacy, and eliminating biases in AI systems. The successful realization of these innovations will require collaborative, multidisciplinary research that bridges nanotechnology, AI, and oncology to overcome current limitations and revolutionize breast cancer diagnosis and treatment.