PathVisions 2026: Scaling Digital Pathology - Summary - MDSpire
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PathVisions 2026: Scaling Digital Pathology

  • October 19, 2026

  • 2 min

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Objective:

Preview Mohannad Hussain’s Pathology Visions 2026 presentation on free and open-source digital pathology resources and how they are refined for clinical use.

Approach:
  • Resources: The presentation will introduce open-source concepts and cover the DICOM microscopy viewer, Slim Viewer, OHIF Viewer, and NIH Imaging Data Commons.
  • Refinement: It will discuss ongoing improvements through resource use and connectathons, including the recent DICOM Working Group 26 connectathon.
  • Topics: Planned topics include AI annotation and output visualization, multiplex imaging, diagnostic image fidelity, performance, reliability, robustness, and use of large language models.
Key Findings:
  • The article previews a conference presentation; it does not report study results.
  • The resources discussed range from image viewers to a repository of multimodality pathology and radiology images.
Interpretation:

Hussain’s presentation will describe free and open-source tools for digital pathology and approaches to refining them.

Limitations:
  • The source is a preview transcript and provides no comparative evaluation, performance data, or detailed evidence about clinical use.
Sources:

Original Source(s)

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