Endoscope Examination Point Detection via Real-Time Image Analysis
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Solution Overview
Problem
Current endoscope business support systems fail to provide real-time confirmation of examination content, leading to potential omissions and increased burden on patients due to variability in examiner skill and experience.
Innovation Solution
A computer program that uses image analysis to determine if the endoscope has reached the examination point, outputting notifications in real-time to ensure accurate and efficient examination content derivation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If confirmation of examination completion is performed after the examination based on examination records, then the examination process can be completed, but real-time derivation of examination content information cannot be achieved
Solution Approach 1:
The system provides real-time feedback by analyzing endoscopic images during the examination process and immediately notifying the examiner when the endoscope reaches predetermined examination points. This feedback mechanism enables real-time derivation of examination content information without requiring post-examination record review, thus resolving the contradiction between information completeness and time efficiency
2Reliability
If the endoscope is operated manually by the examiner, then flexibility in examination can be maintained, but errors such as failure to image necessary portions may occur
Solution Approach 1:
The system automatically monitors the examination process by analyzing endoscopic images and provides real-time notifications to the examiner when predetermined examination points are reached. This feedback mechanism enhances reliability by ensuring all necessary examination portions are captured, while maintaining ease of operation as the system autonomously performs monitoring without adding manual complexity
Solution Approach 2:
The system performs self-monitoring of the examination process by automatically analyzing endoscopic images to determine when examination points are reached. This self-service capability enables the system to independently ensure imaging completeness without requiring additional manual intervention, thus improving reliability while preserving operational simplicity
3Loss of information
If multiple images are captured during examination, then comprehensive examination coverage is achieved, but the number of images increases making efficient information derivation difficult
Solution Approach 1:
The system extracts and processes only the critical information from the captured images by analyzing whether the endoscope has reached predetermined examination points. This extraction approach filters out unnecessary processing of all captured images and focuses only on determining examination point arrival, thereby reducing information processing complexity while maintaining comprehensive examination coverage through targeted image analysis
Data Source
AI summary
A computer program causes a computer to execute processing for acquiring examination point information regarding an examination point included in an examination target portion using an endoscope, acquiring an endoscopic image captured by the endoscope, determining whether the endoscope has reached the examination point on the basis of image analysis of the acquired endoscopic image, and outputting a notification in a case where the endoscope has reached the examination point.