AI-Powered Digital Pathology Slide Navigation System
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Pathologists face inefficiencies and fatigue when manually reviewing digital pathology slides due to the need for extensive panning and zooming across large images, which can lead to prolonged diagnostic review times and physical strain.
Innovation Solution
The implementation of a system that uses artificial intelligence to automatically determine the presence of clinical features and apply policies for smoothly navigating through salient regions of interest, allowing for automatic panning and zooming based on tissue type, findings, and user objectives, thereby reducing the need for manual input and minimizing fatigue.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If pathologists manually review digital pathology slides by panning and zooming, then they can examine tissue details, but diagnostic review time increases and physical strain occurs
Solution Approach 1:
The system performs preliminary analysis by automatically detecting and identifying salient regions of interest in the pathology slide before the pathologist begins review. This pre-processing step highlights critical areas, allowing the pathologist to directly navigate to relevant regions rather than manually searching through the entire slide, thus reducing review time while maintaining examination accuracy
Solution Approach 2:
The system replaces the manual mechanical panning and zooming operations with an automated computer-controlled navigation system. The computer automatically pans and zooms to salient regions based on detected features, substituting the pathologist's manual mechanical interactions with an automated digital navigation system that can rapidly move between regions of interest
2Loss of information
If pathologists manually pan and zoom across large images, then they can locate salient regions, but physical strain and fatigue increase
Solution Approach 1:
The system enables self-service by automatically detecting, identifying, and navigating to salient regions without requiring continuous manual intervention from the pathologist. The computer vision system independently performs region detection and navigation, allowing the pathologist to review findings without the physical strain of manual panning and zooming operations
Solution Approach 2:
The system substitutes the pathologist's manual mechanical panning and zooming operations with an automated computer-controlled navigation system. This replacement eliminates the physical strain and eye strain associated with prolonged manual operation while maintaining complete detection of salient regions through automated image analysis
3Productivity
If automatic panning is implemented across multiple images, then navigation efficiency improves, but system complexity increases
Solution Approach 1:
The system segments the navigation task into distinct functional modules: salient region detection, region identification, priority ordering, and automated panning control. Each module handles a specific aspect of the navigation process, allowing the complex overall task to be managed through modular, independently optimized components that improve navigation efficiency while keeping system complexity manageable
Data Source
AI summary
A computer-implemented method may identify attributes of electronic images and display the attributes. The method may include receiving one or more electronic medical images associated with a pathology specimen, determining a plurality of salient regions within the one or more electronic medical images, determining a predetermined order of the plurality of salient regions, and automatically panning, using a display, across the one or more salient regions according to the predetermined order.