Medical Support Device for Real-Time Tissue Collection Monitoring
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Solution Overview
Problem
Current medical support devices lack the ability to accurately and efficiently provide real-time information on the collection state of tissues during multiple sampling procedures in endoscopy, making it difficult for medical professionals to monitor progress and completeness of tissue collection.
Innovation Solution
A medical support device equipped with a processor that outputs collection-related information, including completion and number of collections, generated from medical images such as endoscope or ultrasound images, allowing for real-time monitoring and display of tissue collection status on a dedicated display system.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If multiple tissue collections are performed manually without automated tracking, then the medical procedure can be completed, but the monitoring of collection state and completeness becomes difficult and error-prone
Solution Approach 1:
The system implements automated feedback by capturing medical images, automatically identifying tissue collection events through image analysis, and providing real-time feedback on collection status. The processor continuously monitors the medical images and updates collection-related information, creating a closed-loop system that improves reliability without requiring complex manual tracking mechanisms
Solution Approach 2:
The system performs self-service by automatically analyzing medical images to detect tissue collection events without requiring manual intervention. The processor autonomously generates collection-related information from the captured images, eliminating the need for complex manual monitoring systems while maintaining high accuracy
2Measurement precision
If real-time image analysis is performed to track tissue collection, then collection monitoring accuracy improves, but processing time and computational load increase
Solution Approach 1:
The system applies partial action by analyzing only the necessary portions of medical images for tissue collection detection. Rather than processing entire images at full resolution continuously, the processor focuses on relevant regions and key features, achieving sufficient detection accuracy while reducing processing time and computational overhead
3Loss of information
If collection-related information is automatically generated from medical images, then information accuracy improves, but the complexity of image processing increases
Solution Approach 1:
The system extracts only the essential information needed for collection monitoring from medical images. The processor identifies and extracts key features related to tissue collection events, such as collection status, collection count, and completion state, without requiring complex analysis of all image data. This extraction approach ensures information completeness while keeping the processing system relatively simple
Data Source
AI summary
A medical support device includes a processor. In a case in which a tissue is collected at a plurality of first positions in an organ, the processor outputs collection-related information which is information related to a collection state of the tissue at each of the first positions.