This study explores the transformative role of artificial intelligence (AI) in breast cancer detection, focusing on its application, current trends, and implications for healthcare professionals.

This paper critically examines how artificial intelligence systems, particularly those utilising Body Mass Index (BMI) as a health metric, can perpetuate and exacerbate existing racial and gender biases. By analysing the intersection of these biases within AI-driven healthcare applications, this study highlights the risk of worsening health disparities among marginalised groups.

This paper examines and analyses various case studies to illustrate the applications of AI in breast cancer detection and treatment. It aims to determine the advantages, difficulties, and future research directions for integrating AI into breast cancer management.

This article explores the most recent advances in cancer scanning technology, which have been made possible by artificial intelligence (AI). It aims to demonstrate that AI is a crucial instrument for improving the efficiency of detecting and treating tumours.

This review discusses the established methods of breast cancer screening to highlight the potential of integrating artificial intelligence (AI) with these screening techniques to enhance detection accuracy.