Clinical Scorecard: PathVisions 2026: Scaling Digital Pathology

At a Glance

Key Highlights

• The presentation will introduce free and open-source digital pathology resources.
• Resources discussed include the DICOM microscopy viewer framework, Slim Viewer, OHIF Viewer, and NIH Imaging Data Commons.
• The NIH Imaging Data Commons is described as a repository of multimodality pathology, radiology, and other images.
• Connectathons, including a recent DICOM Working Group 26 event, are used to refine toolkits and solutions.
• Topics in recent improvements include AI annotation markup, AI output visualization, multiplex imaging, image fidelity, performance, reliability, robustness, and LLM use.

Guideline-Based Recommendations

Diagnosis

Management

Monitoring & Follow-up

Risks

Patient & Prescribing Data

No patient population or prescribing information is provided.

The article discusses digital pathology software and image resources, not treatments.

Clinical Best Practices

• The article describes connectathons as a means of refining digital pathology tools for clinical use.
• Areas identified for ongoing tool improvement include diagnostic image fidelity, performance, reliability, and robustness.

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