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:

• Provided article context