AI Endoscopic Lesion Sizing for Clinical Decision Support
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Solution Overview
Problem
Existing endoscope systems face challenges in accurately determining the size of lesions, leading to potential errors in clinical decision-making due to inaccuracies in size measurement, which can result in incorrect treatment decisions.
Innovation Solution
A medical support device and method that utilizes AI-based image processing to measure the size of lesions in endoscopic images, providing auxiliary information such as size, position, shape, and certainty measures, displayed alongside the image for improved clinical decision-making.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If manual measurement methods are used to determine lesion size, then the device complexity is low, but the measurement precision is insufficient leading to potential errors in clinical decision-making
Solution Approach 1:
The patent replaces manual mechanical measurement methods with AI-based automated image processing. The system uses deep learning models to automatically detect and measure lesion dimensions from endoscopic images, eliminating the need for manual calibration and measurement while significantly improving measurement precision and consistency.
Solution Approach 2:
The patent introduces an AI-based image processing intermediary layer between the endoscopic imaging system and clinical decision-making. This intermediary automatically analyzes images, measures lesion sizes, and provides辅助 information to clinicians, thereby improving measurement accuracy without requiring direct manual intervention.
2Measurement precision
If AI-based image processing is implemented to measure lesion size, then the measurement precision is improved, but the device complexity increases
Solution Approach 1:
The patent performs preliminary AI-based image analysis and lesion detection automatically during the endoscopic procedure. By pre-processing images and providing measurement results in real-time, the system eliminates the need for complex post-procedure analysis while improving measurement precision through automated algorithms.
Solution Approach 2:
The AI-based image processing system operates autonomously to detect, measure, and analyze lesions without requiring manual intervention. The system self-calibrates, automatically processes images, and generates measurement reports, thereby improving precision while managing complexity through automation rather than manual procedures.
3Reliability
If comprehensive auxiliary information is provided to assist clinical decision-making, then the reliability of clinical decisions is improved, but the loss of information increases due to the complexity of presenting multiple parameters
Solution Approach 1:
The patent applies local quality by providing different levels of information detail tailored to specific clinical needs. The system presents comprehensive auxiliary information including lesion size, position, shape, and certainty measures, but allows clinicians to focus on specific parameters relevant to their decision-making context, thereby improving reliability without causing information overload.
Solution Approach 2:
The patent segments auxiliary information into distinct categories (size measurement, position, shape, certainty measures) that can be independently analyzed and presented. This segmentation allows clinicians to process information in manageable units rather than receiving an undifferentiated mass of data, improving decision-making reliability while reducing information overload.
Data Source
AI summary
A medical support device includes a processor. The processor is configured to acquire a size of an observation target region appearing in a medical image obtained by imaging an imaging target region including the observation target region with a modality. The processor is configured to output auxiliary information for assisting in clinical decision making in cases in which the size falls within a size range determined with respect to a reference value for the decision making.