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Artificial Intelligence in Breast Cancer Diagnosis and Management.

Smitha S Rao1, Raghavan Vidya2

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Summary

Artificial intelligence (AI) offers significant advancements in breast cancer diagnostics and therapeutics. This review comprehensively explores AI applications, enhancing workflows and guiding personalized treatment strategies for improved patient outcomes.

Keywords:
artificial intelligencebreast cancerdeep learningdiagnosismachine learningneoadjuvant chemotherapypathologypatient outcomeradiation

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Area of Science:

  • Oncology
  • Medical Imaging
  • Computational Pathology

Background:

  • Artificial intelligence (AI) is increasingly utilized in cancer management, with extensive applications in breast cancer care.
  • Existing reviews often focus on single AI applications, lacking a comprehensive overview and potentially hindered by complex terminology.

Purpose of the Study:

  • To provide a comprehensive review of diverse artificial intelligence applications in breast cancer management.
  • To elucidate the role of AI in enhancing diagnostic and therapeutic workflows for radiologists, pathologists, and clinicians.

Main Methods:

  • Systematic literature review of AI applications in breast cancer.
  • Analysis of AI's impact on diagnostic accuracy, treatment planning, and patient outcomes.
  • Exploration of emerging AI-driven techniques like radiomics and virtual biopsies.

Main Results:

  • AI enhances workflows for radiologists, pathologists, and clinicians in breast cancer care.
  • AI shows potential in molecular pathology for virtual biopsies and in preventive oncology.
  • Radiomics, integrating clinical, imaging, and molecular data, aids in guiding treatment decisions and targeted therapies.

Conclusions:

  • AI is a valuable tool in breast cancer management, improving efficiency and decision-making.
  • AI applications, including radiomics, offer promising avenues for personalized treatment and improved patient outcomes.
  • The integration of AI in oncology is poised to reduce workforce demand and minimize complications, signifying a positive future trajectory.