Artificial Intelligence in Breast Cancer Diagnosis and Management

Abstract

Artificial intelligence (AI) holds significant promise in the fields of diagnostics and therapeutics, particularly in cancer management. AI has been extensively applied in various aspects of breast cancer care. Numerous studies and reviews have been published on the use of AI in breast cancer; however, many studies have focused on a single application and can be difficult to understand because of the complex nature of the jargon. This review aimed to comprehensively explore the various applications of AI in breast cancer management. AI has proven to be a valuable tool for enhancing the workflows of radiologists, pathologists, and clinicians. Although it has not yet replaced clinical decision-making, AI shows promising potential in molecular pathology, with the hope of advancing virtual biopsies. Progress in AI could also open new avenues for preventive oncology. Current clinical challenges in therapeutic practice can be addressed by utilising radiomics, which combines the clinical, imaging, and molecular characteristics of tumours to guide treatment decisions and target therapies more effectively. The potential of AI to improve patient outcomes, reduce workforce demand, and minimise postoperative complications suggests a promising future for its application in cancer care.

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