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  • Artificial Intelligence in Precision Breast Cancer Care: From Early Detection to Personalized Therapeutic Decision-Making

  • Amirhossein Khorramian,1,* Zahra Norouzi,2
    1. Department of Microbiology, Ardabil branch, Islamic Azad University, Ardabil, Iran
    2. Department of Microbiology, Ardabil branch, Islamic Azad University, Ardabil, Iran


  • Introduction: Breast cancer is a major cause of death among women around the world. Clinical results can be significantly improved by prompt and accurate diagnosis. With breast cancer diagnosis and individualized treatment regimens, the emergence of artificial intelligence (AI) has opened up a new era, particularly in image analysis. Artificial intelligence (AI) is transforming breast cancer treatment by improving early identification, pathological diagnosis, risk assessment, personalized treatment recommendations, and anticipating treatment response. In various areas of BC management, including effective screening and diagnosis, accurate prognosis assessment, and individualized treatment planning, AI has shown to be useful.
  • Methods: With great accuracy, AI algorithms have the ability to spot minute patterns in mammograms and other imaging modalities, which could result in earlier diagnoses. AI is changing the way breast cancer is treated by improving personalized medicine, imaging, and pathology. In imaging, AI may enhance the detection of cancer in MRIs, ultrasounds, and mammography, competing with professional radiologists in terms of precision. AI’s predictive capabilities are useful for tailored medicine, supporting treatment outcomes and risk assessment. AI integrates patient-specific data to optimize therapies and predict individual responses during treatment planning.
  • Results: This narrative review aims to provide an update on the influencing role of AI technologies in precise and personalized clinical decision-making in BC surgery. Pathologists can use AI technologies to analyze tissue samples for indicators of breast cancer and improve diagnosis.
  • Conclusion: The use of AI in breast cancer detection and prediction has the capacity to transform oncology and improve patient care. There is significant potential for the use of artificial intelligence to improve the diagnosis, prediction, and treatment of breast cancer.
  • Keywords: Artificial Intelligence, Breast Cancer, Precision Medicine, Early Detection, Personalized Treatment

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