AI Diagnostic Model Adjustment for Facility-Specific Accuracy
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Solution Overview
Problem
Existing image diagnosis supporting devices using AI models often produce diagnostic results that are not suitable for each facility due to differences in patient characteristics and imaging device types, leading to insufficient diagnosis accuracy.
Innovation Solution
An image diagnosis supporting device and method that includes a model reader, storage unit, and adjuster to read and adjust the AI model based on facility-specific data, allowing for the adjustment of diagnostic images and models to improve accuracy by using facility data to refine diagnostic results.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If an existing image diagnostic model is used across different facilities, then device complexity is reduced, but diagnosis accuracy deteriorates due to differences in facility characteristics
Solution Approach 1:
The patent adjusts parameters of the existing image diagnostic model based on facility-specific characteristics such as patient demographics, disease prevalence, and imaging equipment types. This allows the model to adapt to local conditions without requiring complete redesign, thereby maintaining simplicity while improving diagnostic accuracy for each facility
Solution Approach 2:
The system dynamically adjusts the diagnostic model by incorporating facility data to generate adjusted diagnostic images. The model transitions from a static universal version to a dynamic facility-adapted version, allowing it to respond to specific facility characteristics while maintaining the underlying framework
2Measurement precision
If an image diagnostic model is adjusted based on facility data, then diagnosis accuracy is improved, but device complexity increases
Solution Approach 1:
The system performs preliminary adjustment of the diagnostic model using facility data before actual diagnosis. By pre-adjusting the model parameters based on facility characteristics, the system prepares the model in advance to handle facility-specific conditions, improving accuracy without adding complexity during the actual diagnosis process
Solution Approach 2:
The patent introduces an intermediary adjustment layer between the existing diagnostic model and the input images. This intermediary component processes facility data and modifies the diagnostic images or model parameters accordingly, acting as a bridge that improves accuracy without requiring fundamental changes to the core model
3Adaptability or versatility
If facility-specific adjustment is implemented, then adaptability to different facilities is improved, but processing time increases
Solution Approach 1:
The system performs facility-specific adjustments in advance by pre-processing facility data and adjusting model parameters before actual diagnosis operations. This preliminary action ensures the model is ready for facility-specific conditions, reducing processing time during actual diagnosis while maintaining high adaptability
Data Source
AI summary
An image diagnosis supporting device includes a model reader that reads an image diagnostic model that outputs a diagnostic result for a diagnostic image that is an input medical image, a storage unit that stores facility data that is a plurality of medical images associated with diagnostic results held in a facility, and an adjuster that adjusts, based on the facility data, the image diagnostic model or the diagnostic image input to the image diagnostic model.