Diagnosis Support Device with Explanation Generation
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Solution Overview
Problem
Existing diagnosis systems using artificial intelligence for brain diseases, such as Alzheimer's, lack transparency in their internal processing, making it difficult for doctors to understand the basis for the diagnosis results.
Innovation Solution
A diagnosis support device that acquires subject data related to the brain, predicts brain diseases, specifies data items contributing to the prediction, and outputs these data items along with prior knowledge related to the brain disease, enabling doctors to understand the basis for the predictions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If artificial intelligence techniques are used for diagnosis, then prediction accuracy is improved, but transparency of the diagnosis basis deteriorates
Solution Approach 1:
The patent introduces an explanation generation unit that acts as an intermediary between the prediction unit and the doctor. This unit generates human-readable explanations that mediate the complex AI processing results, making the diagnosis basis transparent without affecting the prediction accuracy of the underlying AI model.
Solution Approach 2:
The patent segments the diagnosis system into distinct functional units: acquisition unit, prediction unit, explanation generation unit, and output unit. This segmentation allows the complex AI processing to be separated from the explanation generation, enabling both high accuracy prediction and transparent explanation to coexist in different modules of the system.
2Productivity
If complex AI processing is used, then prediction capability is improved, but ease of understanding by doctors deteriorates
Solution Approach 1:
The explanation generation unit serves as a mediator that translates complex AI processing results into easily understandable explanations for doctors. It converts the black-box AI predictions into interpretable information that maintains the high prediction capability while improving ease of understanding through natural language explanations.
Solution Approach 2:
The patent changes the parameter of information representation from complex numerical AI processing results to human-readable explanatory text. This parameter change allows the system to maintain high prediction capability internally while presenting results in a form that is easy for doctors to understand and interpret.
Data Source
AI summary
A diagnosis support device, a recording medium, and a diagnosis support method that can support a doctor's diagnosis. The diagnosis support device includes: an acquisition unit acquiring subject data related to a brain of a subject; a prediction unit predicting a brain disease of the subject on the basis of the subject data; a specification unit specifying a data item corresponding to subject data, which contributes to a prediction result, in the subject data; and an output unit outputting the specified data item and prior knowledge related to the brain disease in association with each other.