Endoscopy Support With AI Region Scoring and Examination Grouping
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Solution Overview
Problem
Existing endoscopy systems fail to organize and manage large amounts of image information and analysis results efficiently, especially when used by multiple users, making it difficult for users to utilize the data effectively.
Innovation Solution
An endoscopy support apparatus and method that includes units for generating analysis, user, and examination management information by associating image information with user inputs and examination periods, using AI models to estimate target regions and score likelihood, and organizing this data for efficient retrieval.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Quantity of substance
If a large amount of image information and analysis results are stored in a storage device, then the data is preserved for future use, but the data is stored in a complicated manner and cannot be easily organized or retrieved
Solution Approach 1:
The patent segments the stored image data into examination-based groups, where each examination contains multiple images captured during a specific examination period. This segmentation allows the system to manage large volumes of data while maintaining organizational structure, enabling efficient retrieval by examination rather than requiring users to search through all stored images individually.
Solution Approach 2:
The patent introduces an intermediary data structure (examination management information) that connects image data with examination context. This intermediary layer includes examination identification information and time period data, acting as a mediator between the raw image data and the user's retrieval needs, thereby simplifying access to large datasets.
2Productivity
If the endoscopy system is used continuously by multiple users, then the system utilization is maximized, but it becomes difficult to distinguish and organize data for individual users and examinations
Solution Approach 1:
The patent applies preliminary action by automatically recording examination identification information and time period data at the moment each image is captured during the examination. This preliminary organization occurs before the examination ends and before multiple users may access the system, ensuring that data attribution information is preserved even as the system transitions between different users and examinations.
3Measurement precision
If image analysis is performed on each captured image, then valuable diagnostic information is extracted, but the analysis results are not systematically organized making them difficult to utilize
Solution Approach 1:
The patent merges the image data with its corresponding analysis results and examination metadata into a unified examination-based structure. By combining these elements under a single examination identifier, the system maintains the precision of individual image analysis while reducing the perceived complexity through integrated organization, allowing users to access both images and their analysis results together.
Data Source
AI summary
An endoscopy support apparatus 1 includes: an analysis information generation unit 2 that inputs image information of an imaged living body into a model, estimates a region of a target site of the living body, and generates analysis information including region information indicating the estimated region and score information indicating likeness of the region to the target site; a user information generation unit 3 that generates user information related to the user, which has been input by a user using a user interface 23; an image-related information generation unit 4 that generates image-related information by associating imaging date and time information, the analysis information, and the user information, for each piece of image information; and an examination management information generation unit 5 that generates examination management information by associating a plurality of pieces of the image-related information with examination information indicating an examination period.