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Updated: Jan 9, 2026

Introduction of an Integrated Pathology Image Management, Artificial Intelligence, and Reporting System
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Whole Slide Imaging in Genitourinary Pathology: A Cloud-Based Digitisation Workflow for Resource-Limited Settings.

Aisha Memon1, Talat Zehra2, Sarosh Moeen1

  • 1Department of Pathology and Laboratory Medicine, The Aga Khan University Hospital, Karachi, Pakistan.

Journal of the College of Physicians and Surgeons--Pakistan : JCPSP
|December 6, 2025
PubMed
Summary

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Kidney, Ureter, and Bladder (KUB) StudiesKidney, Ureter, and Bladder (KUB) studies are standard diagnostic imaging procedures used to assess the anatomy of the urinary system. They are commonly utilized for patients experiencing abdominal pain or urinary symptoms. By using a simple X-ray of the abdomen, KUB studies can reveal structural and pathological abnormalities within the kidneys, ureters, and bladder. These studies are particularly valuable in diagnosing kidney stones, urinary...
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The critical role of standards for AI in digital pathology: Digital Pathology Association Concept Paper.

Journal of pathology informatics·2026

Digitizing genitourinary glass slides into whole-slide images (WSIs) enables research and education. This method facilitates improved diagnostic consensus, particularly in resource-limited settings, via accessible digital formats.

Area of Science:

  • Pathology
  • Digital Health
  • Medical Imaging

Background:

  • Genitourinary pathology traditionally relies on physical glass slides.
  • Digitization offers potential for enhanced research, education, and knowledge sharing.
  • Telepathology and digital image interpretation are emerging fields.

Purpose of the Study:

  • To digitize genitourinary glass slides for research, education, and knowledge sharing.
  • To evaluate the utility of whole-slide images (WSIs) generated from digitized slides.
  • To assess the feasibility of using digital pathology in resource-limited settings.

Main Methods:

  • An observational study was conducted using 31 renal biopsy cores and 21 prostate tissue cores.
  • Videos of stained slides were recorded and uploaded to an open-source platform to create WSIs.

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  • Three pathologists independently reviewed the WSIs, with inter-observer agreement assessed using the Kappa statistic.
  • Main Results:

    • Pathologist A achieved 100% agreement with reference diagnoses for renal stains.
    • Pathologist B showed 77% concordance for H&E and 74% for other stains.
    • Pathologist C reported high agreement (74-100%) across different stains for both renal and prostate biopsies.

    Conclusions:

    • Whole-slide images (WSIs) are viewable via shareable links, including on smartphones.
    • Digitization aids in achieving consensus on diagnoses, benefiting resource-limited areas.
    • Digital pathology platforms can enhance collaboration and diagnostic accuracy in genitourinary pathology.