Tabriz University of Medical Sciences BioImpacts 2228-5652 15 1 2025 01 19 The role of artificial intelligence in enhancing breast cancer screening and diagnosis: A review of current advances 30984 30984 10.34172/bi.30984 EN Faezeh Firuzpour https://orcid.org/0009-0007-5826-0314 MohammadAli Heydari Cena Aram https://orcid.org/0000-0001-5413-0802 Ali Alishvandi https://orcid.org/0000-0003-0275-9785 Journal Article 10.34172/bi.30984 2025 01 20 2025 09 06 Breast cancer (BCA) remains the most prevalent cancer globally and the leading cause of cancer-related mortality among women, with rising incidence rates driven by genetic, lifestyle, and environmental factors. Early detection through precise screening is essential to improve prognosis and survival; yet, challenges persist, especially in resource-limited areas. Recent advances in Artificial Intelligence (AI), particularly machine learning and deep learning algorithms, have illustrated significant potential to enhance breast cancer screening, diagnosis, and treatment personalization. This review highlights the multifaceted role of AI in BCA management, encompassing its applications in image-based screening modalities, genomic and immunologic profiling, and drug discovery. AI-driven approaches offer diagnostic accuracy, cost-effectiveness, time-saving, and individualized treatment regimens. Despite promising developments, further research is crucial to overcome current challenges and regulatory hurdles in clinical settings. This article highlights the positive aspects of AI technologies in advancing BCA care and the importance of continued interdisciplinary research to optimize their implementations in breast cancer workflows.