Medical Image Comment Keyword Extraction and Search Automation
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Solution Overview
Problem
Current medical image analysis systems face challenges in efficiently searching for similar cases during radiological interpretation, requiring manual input and complex search conditions, which can be time-consuming and labor-intensive for radiologists.
Innovation Solution
An information processing apparatus and method that extracts and classifies words from comment findings on medical images, allowing for easy searching of similar medical information by displaying words per item and using synonyms or related words if initial search results do not meet threshold values, thereby simplifying the search process.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If manual input and complex search conditions are used for searching similar medical cases, then search accuracy can be maintained, but the time and effort required increases significantly
Solution Approach 1:
The system automatically extracts keywords from medical images and reports without requiring manual input from radiologists. The keyword extraction unit autonomously identifies and extracts relevant terms, and the search execution unit automatically performs searches using these extracted keywords, eliminating the need for manual keyword input and complex search condition configuration by users.
Solution Approach 2:
The system pre-processes medical images and reports to extract and store keywords in advance. By maintaining a database of extracted keywords from previous medical examinations, the system prepares search data beforehand, enabling rapid retrieval and comparison when new cases need to be searched, thus reducing search time while maintaining accuracy.
2Productivity
If automated keyword extraction is implemented, then search efficiency improves, but the complexity of the system increases
Solution Approach 1:
The system is divided into distinct functional units: a keyword extraction unit that handles text processing and keyword identification, a database unit that stores extracted keywords and medical information, and a search execution unit that performs searches. This segmentation allows each unit to perform its specific function independently, improving search efficiency while managing system complexity through modular design.
3Reliability
If multiple search methods (synonyms, related words) are used to ensure sufficient results, then search completeness improves, but the complexity of search processing increases
Solution Approach 1:
The search execution unit monitors the number of search results obtained and compares it against a predetermined threshold. When the number of results is insufficient, the system automatically adjusts search parameters or expands keyword variations and performs additional searches. This feedback mechanism ensures search completeness while managing processing complexity through conditional, adaptive search strategies rather than always executing complex multi-method searches.
Data Source
AI summary
An information processing apparatus including at least one processor, wherein the processor is configured to: extract at least one word included in a comment on findings; classify the word into a predetermined item; display the word for each item on a display; and search for medical information similar to content of the comment on findings from among plural pieces of recorded medical information based on the word.