Medical Image Inference Control via Inspection Quality Feedback
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Solution Overview
Problem
In the medical field, there is a risk of incorrect inference on medical images due to inadequate inspection, which can lead to unreliable detection of lesions or abnormal parts.
Innovation Solution
An information processing apparatus and method that acquires medical images, evaluates their inspection results, and controls the inference process based on these results, ensuring that inference is only performed on images deemed suitable for inspection, thereby preventing incorrect inferences and improving reliability.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If inference is performed on all medical images regardless of inspection quality, then processing speed is improved, but reliability of inference results deteriorates
Solution Approach 1:
The system performs inspection processing as a preliminary action before inference. The inspection result acquisition unit obtains inspection results that evaluate whether medical images are appropriate for inference, and the control unit uses these results to determine whether to perform inference. This preliminary evaluation ensures that only images meeting quality criteria undergo inference, maintaining reliability while avoiding unnecessary processing of unsuitable images.
2Reliability
If inspection is performed on all medical images before inference, then reliability of inference results is improved, but processing time increases
Solution Approach 1:
The system extracts only the necessary inspection information required for inference decision-making. The inspection result acquisition unit obtains specific inspection results that are sufficient to determine image suitability for inference, rather than performing complete comprehensive inspections. This selective extraction of essential inspection data maintains reliability while minimizing time loss.
3Measurement precision
If inference is controlled based on inspection results, then accuracy of diagnosis is improved, but device complexity increases
Solution Approach 1:
The system implements feedback control where the control unit receives inspection results and uses this feedback to determine whether to perform inference. The control unit adjusts inference execution based on the quality assessment feedback from inspection, ensuring that inference is performed only when image quality meets required standards. This feedback mechanism improves diagnostic accuracy while maintaining manageable system complexity through straightforward conditional logic.
Data Source
AI summary
An information processing apparatus includes a processor, and a memory storing a program. The program, when executed by the processor, causes the information processing apparatus to: acquire a medical image obtained by imaging a subject, acquire an inspection result of the medical image, perform inference on the medical image; and control outputting of an inference result of the medical image inference to an external device based on the inspection result of the medical image.