This review discusses the profound impact of artifcial intelligence (AI) on breast cancer (BC) diagnosis and management within the feld of pathology. It examines the various applications of AI across diverse aspects of BC pathology, highlightions key fndings from multiple studies. Integrating AI into routine pathology practice stands to improve diagnostic accuracy, thereby contributing to reducing avoidable errors.
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