Medical Information Processing Apparatus for AI Diagnosis Support
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Solution Overview
Problem
As the use of AI for medical image data analysis increases, the burden on radiologists grows due to the need to confirm and interpret numerous analysis results, making it challenging to efficiently and effectively utilize AI diagnosis support.
Innovation Solution
A medical information processing apparatus that acquires and processes output data from AI analysis processes, selectively extracts relevant information based on extraction conditions, and displays AI analysis results alongside corresponding medical images, allowing for easier confirmation and improved diagnosis efficiency.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If multiple AI analysis processes are applied to medical image data, then diagnostic accuracy is improved, but the burden on radiologists increases due to the need to confirm numerous analysis results
Solution Approach 1:
The system extracts only the necessary analysis results from multiple AI analysis processes based on extraction conditions. The processing circuitry selectively extracts relevant output data from multiple analysis processes, presenting only those results that meet predefined criteria to radiologists, thereby reducing the number of results that need manual confirmation while maintaining diagnostic accuracy.
2Reliability
If multiple AI analysis processes are applied to medical image data, then diagnostic accuracy is improved, but the time required to confirm results increases
Solution Approach 1:
The system performs preliminary extraction and organization of analysis results based on predefined extraction conditions before presenting them to radiologists. The processing circuitry pre-processes multiple analysis outputs, filtering and arranging results according to extraction conditions, so that radiologists receive only relevant information ready for immediate review, reducing the time needed to confirm results.
3Loss of information
If all analysis results are displayed, then complete information is provided, but the complexity of the display system increases
Solution Approach 1:
The system extracts and displays only the necessary analysis results based on extraction conditions rather than showing all available data. The processing circuitry identifies and presents relevant output data from multiple analysis processes, maintaining information completeness for diagnostic purposes while simplifying the display by excluding unnecessary results.
Solution Approach 2:
The display system segments analysis results into different groups based on extraction conditions and relevance. The processing circuitry organizes output data from multiple analysis processes into structured groups, allowing radiologists to systematically review categorized results rather than facing an undifferentiated mass of information, thereby reducing perceived complexity.
Data Source
AI summary
A medical information processing apparatus of an embodiment includes processing circuitry. The processing circuitry acquires a plurality of pieces of output data respectively output from a plurality of analysis processes to which medical image data is input as input data. The processing circuitry selectively extracts, from the pieces of output data, a plurality of pieces of output data based on an extraction condition. The processing circuitry performs control to display a plurality of pieces of information corresponding to the pieces of extracted output data and a medical image related to any one piece of the information and generated from the medical image data.