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[2505.02780] Beyond the Monitor: Mixed Reality Visualization and Multimodal AI for Enhanced Digital Pathology Workflow
Summary
This article presents PathVis, a mixed-reality platform designed to enhance digital pathology workflows by integrating multimodal AI and immersive visualization techniques.
Why It Matters
The study addresses the limitations of traditional 2D monitors in pathology, which hinder efficient diagnosis due to fragmented workflows. By leveraging mixed reality and AI, PathVis aims to improve diagnostic accuracy and reduce cognitive load, potentially transforming how pathologists interact with complex data.
Key Takeaways
- PathVis offers an immersive mixed-reality environment for analyzing gigapixel whole-slide images.
- The platform utilizes eye gaze, hand gestures, and voice commands for intuitive navigation.
- Integrated AI agents assist in diagnosis through content-based image retrieval and real-time interpretation.
Computer Science > Human-Computer Interaction arXiv:2505.02780 (cs) [Submitted on 5 May 2025 (v1), last revised 26 Feb 2026 (this version, v2)] Title:Beyond the Monitor: Mixed Reality Visualization and Multimodal AI for Enhanced Digital Pathology Workflow Authors:Jai Prakash Veerla, Partha Sai Guttikonda, Helen H. Shang, Mohammad Sadegh Nasr, Cesar Torres, Jacob M. Luber View a PDF of the paper titled Beyond the Monitor: Mixed Reality Visualization and Multimodal AI for Enhanced Digital Pathology Workflow, by Jai Prakash Veerla and 5 other authors View PDF HTML (experimental) Abstract:Pathologists diagnose cancer using gigapixel whole-slide images (WSIs), but the current digital workflow is fragmented. These multiscale datasets often exceed 100,000 x 100,000 pixels, yet standard 2D monitors restrict the field of view. This disparity forces constant panning and zooming, which increases cognitive load and disrupts diagnostic momentum. We introduce PathVis, a mixed-reality platform for Apple Vision Pro that unifies this ecosystem into a single immersive environment. PathVis replaces indirect mouse navigation with embodied interaction, utilizing eye gaze, natural hand gestures, and voice commands to explore gigapixel data. The system integrates multimodal AI agents to support computer-aided diagnosis: a content-based image retrieval engine spatially displays similar patient cases for side-by-side prognostic comparison, while a conversational assistant provides real-time interp...