Lymphoma triage from H&E using AI for improved clinical management.

Journal: Journal of clinical pathology
PMID: 37945334

Abstract

AIMS: In routine diagnosis of lymphoma, initial non-specialist triage is carried out when the sample is biopsied to determine if referral to specialised haematopathology services is needed. This places a heavy burden on pathology services, causes delays and often results in over-referral of benign cases. We aimed to develop an automated triage system using artificial intelligence (AI) to enable more accurate and rapid referral of cases, thereby addressing these issues.

Authors

  • Anna Maria Tsakiroglou
    Spotlight Pathology Ltd, Manchester, UK.
  • Chris M Bacon
    Translational and Clinical Research Institute, Newcastle University, Newcastle upon Tyne, UK.
  • Daniel Shingleton
    Division of Laboratory Medicine, Manchester University NHS Foundation Trust, Manchester, UK.
  • Gabrielle Slavin
    Department of Cellular Pathology, Manchester University NHS Foundation Trust, Manchester, UK.
  • Prokopios Vogiatzis
    Cellular Pathology Department, Southend University Hospital, Mid & South Essex NHS Trust, Essex, UK.
  • Richard Byers
    Spotlight Pathology Ltd, Manchester, UK.
  • Christopher Carey
    Translational and Clinical Research Institute, Newcastle University, Newcastle upon Tyne, UK.
  • Martin Fergie
    Imaging and Data Sciences, The University of Manchester, Manchester, UK.

Keywords

External Resources

Popular Topics
Recent Journals