AI Endoscopic Lesion Infiltration Assessment for Resection Decisions
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Solution Overview
Problem
Existing endoscopic examination systems lack assistance in detecting and determining the infiltration state of lesions, which is crucial for deciding the applicability of endoscopic resection, often relying on examiner judgment alone.
Innovation Solution
An endoscopic examination assistance device and system that includes a lesion detection means, infiltration determination means, and display control means to estimate and visually display the infiltration state of lesions relative to a threshold value, using machine learning models for lesion detection and infiltration distance estimation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If examiner judgment alone is used to determine lesion infiltration state, then device complexity is reduced, but measurement precision and reliability of infiltration state determination deteriorate
Solution Approach 1:
The patent introduces an AI-based image processing device as an intermediary between the endoscope and the examiner. This intermediary automatically analyzes endoscopic images to estimate infiltration state, reducing the burden on the examiner while improving determination accuracy. The system processes images through machine learning models to provide objective infiltration state assessment.
Solution Approach 2:
The patent replaces the mechanical/reliant system of examiner-based visual judgment with an automated AI-based image processing system. The machine learning model automatically analyzes image features to determine infiltration state, substituting human subjective judgment with objective algorithmic assessment, thereby improving precision and consistency.
2Reliability
If automated AI-based infiltration state estimation is implemented, then measurement precision improves, but device complexity increases
Solution Approach 1:
The patent designs the image processing device to perform multiple functions: it detects lesions, estimates infiltration state, and provides visual guidance for resection. By consolidating these functions into a single integrated system, the patent reduces overall device complexity compared to having separate specialized tools, while maintaining high reliability through multi-functional AI processing.
3Ease of operation
If visual display of infiltration state is provided, then ease of operation improves for examiners, but loss of information increases due to processing requirements
Solution Approach 1:
The patent extracts the critical infiltration state information from the complex endoscopic images and presents it as a simplified visual indicator (such as color-coded overlays or quantitative metrics). This extraction process separates the essential decision-making information from the raw image data, making it easier for examiners to interpret while preserving the original images for reference.
Data Source
AI summary
The endoscopic examination assistance device detects at least one lesion contained in an endoscopic image obtained during an endoscopic examination; estimates an infiltration state of the lesion detected from the endoscopic image; determines whether the infiltration state exceeds a predetermined threshold value; and displays the infiltration state relative to the threshold value in a visually discernible manner. The endoscopic examination assistance device can assist user's decision making for diagnosing lesions.