Clinical Scorecard: PathVisions 2026: Scaling Digital Pathology
At a Glance
Category
Detail
Condition
Digital pathology and computational pathology resources
Key Mechanisms
Free and open-source viewers and image repositories support viewing and use of microscopy and multimodality images; connectathons help refine tools.
Target Population
Digital pathology users and developers; the article does not specify a patient population.
Care Setting
Digital pathology and medical imaging tool development, evaluation, and use; no specific clinical care setting is described.
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.
