Breast cancer remains a significant global health challenge affecting millions of people worldwide. Early detection is crucial for improving treatment outcomes and survival rates. With the rapid advancement of technology, artificial intelligence (AI) has emerged as a transformative tool in medical diagnostics, particularly in breast cancer detection. This review examines how state-of-the-art machine learning (ML) and deep learning (DL) methodologies have revolutionized breast cancer diagnostics. Techniques such as convolutional neural network (CNN), ensemble learning, transfer learning, explainable AI, and federated learning (FL) have been analyzed for their contributions to addressing multi... More >