Artificial Intelligence in Breast Cancer Diagnosis, Treatment, and Perioperative Management: A Systematic Review of Current Applications and Future Perspectives

Background

Breast cancer is the most frequently diagnosed malignancy in women globally, accounting for approximately 2.30 million new cases and 666,103 deaths in 2022. Artificial intelligence technologies including machine learning, deep learning, radiomics, and natural language processing have been widely applied across the breast cancer care continuum. However, no systematic review restricted to primary studies with patient-level or image-level data has synthesized evidence spanning all clinical domains simultaneously.