An overview of artificial intelligence applications for next-generation gynaecological pathology

Sarah Bell, James D. Blackwood, Christina Fell, Mahnaz Mohammadi, David Morrison, David Harris-Birtill, Gareth Bryson

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Abstract

With the drive to roll out digital pathology in the UK, implementation of artificial intelligence (AI) tools for pathology is now a possibility, bringing with it the potential to change how we work as a specialty. AI promises many benefits for working practices such as improved efficiency and consistency, financial and productivity gains and ultimately a better service for our patients. Gynaecological pathology is a diverse specialty with many potential avenues for algorithm development, yet there are relatively few nearing clinical validation compared to other pathology specialties. This article provides a summary of the current landscape of AI in pathology with a focus on applications in gynaecological pathology. We discuss the ways pathologists can be involved in algorithm development and draw on our significant experiences in a nationally funded programme for AI development and research. Finally we look to what the future might hold.
Original languageEnglish
Pages (from-to)442-449
Number of pages8
JournalDiagnostic Histopathology
Volume29
Issue number10
Early online date26 Jul 2023
DOIs
Publication statusPublished - 1 Oct 2023

Keywords

  • Artificial intelligence
  • Computational pathology
  • Deep learning
  • Digital pathology
  • Gynaecological pathology
  • Whole slide images

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