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The Pathologist / Issues / 2026 / October / PathVisions 2026: Scaling Digital Pathology
Digital and computational pathology Technology and innovation Digital Pathology

PathVisions 2026: Scaling Digital Pathology

Improving digital scaled solutions in pathology with free and open-sourced resources

10/19/2026 Video 2 min read
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5 Key Takeaways
  • 1

    Mohannad Hussain’s Pathology Visions 2026 presentation will focus on free and open-source resources for digital pathology.

  • 2

    The presentation will cover the DICOM microscopy viewer framework, the Slim Viewer, the OHIF Viewer, and the NIH Imaging Data Commons.

  • 3

    Hussain will discuss how usage and connectathons, including the recent DICOM Working Group 26 Connectathon, help refine digital pathology tools.

  • 4

    Topics in recent improvements include AI annotation markup, AI output visualization, multiplex imaging, diagnostic image fidelity, performance, reliability, and robustness.

  • 5

    The presentation will also address how large language models can be used with digital pathology resources.

This content is an AI-generated, fully rewritten summary based on a published scholarly article. It does not reproduce the original text and is not a substitute for the original publication. Readers are encouraged to consult the source for full context, data, and methodology.

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