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Review of the current state of digital image analysis in breast pathology.

Martin C ChangMiralem Mrkonjic
Published in: The breast journal (2020)
Advances in digital image analysis have the potential to transform the practice of breast pathology. In the near future, a move to a digital workflow offers improvements in efficiency. Coupled with artificial intelligence (AI), digital pathology can assist pathologist interpretation, automate time-consuming tasks, and discover novel morphologic patterns. Opportunities for digital enhancements abound in breast pathology, from increasing reproducibility in grading and biomarker interpretation, to discovering features that correlate with patient outcome and treatment. Our objective is to review the most recent developments in digital pathology with clear impact to breast pathology practice. Although breast pathologists currently undertake limited adoption of digital methods, the field is rapidly evolving. Care is needed to validate emerging technologies for effective patient care.
Keyphrases
  • artificial intelligence
  • healthcare
  • primary care
  • machine learning
  • deep learning
  • quality improvement
  • case report
  • chronic pain
  • combination therapy
  • replacement therapy
  • smoking cessation