Medical Image Notification Control for Overlapping AI Results
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Solution Overview
Problem
In medical imaging systems with multiple AI-supported functions, overlapping notification timings can confuse users, leading to missed or unrecognized notification information.
Innovation Solution
A medical image processing device that performs first and second recognition processing on time-series medical images, notifies of recognition results, and adjusts the notification method based on the state of the first recognition result, using image and audio information on different display units.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If multiple AI-supported functions are installed to provide comprehensive recognition processing, then the functionality and recognition accuracy are improved, but the notification timings may overlap causing user confusion and missed information
Solution Approach 1:
The notification system is segmented into multiple independent notification controllers, each responsible for a specific recognition function. Each controller manages its own notification timing and method, preventing overlap and ensuring clear delivery of recognition results from different AI functions.
Solution Approach 2:
The notification system dynamically adjusts notification methods based on the current notification state. When a notification is detected, the system changes the notification method for subsequent notifications to avoid overlap, making the system adaptive to prevent information loss while maintaining comprehensive functionality.
2Measurement precision
If multiple recognition processing functions are performed simultaneously to enhance detection capability, then the recognition accuracy is improved, but the notification timing overlap occurs leading to user confusion
Solution Approach 1:
The notification system is divided into separate notification controllers for each recognition function. Each controller independently manages notification timing, ensuring that recognition results from different functions are delivered at distinct times, preventing user confusion while maintaining high recognition accuracy.
Solution Approach 2:
The system incorporates feedback mechanisms where notification controllers monitor the notification state and adjust their notification timing accordingly. This feedback loop ensures that notifications are delivered in a coordinated manner, preventing overlap and ensuring users can easily recognize and process information from multiple recognition functions.
3Speed
If real-time notification of AI results is implemented to provide immediate feedback, then the responsiveness is improved, but overlapping notifications cause user confusion and information loss
Solution Approach 1:
The real-time notification system is segmented into multiple independent notification controllers, each handling notifications for specific recognition functions. This segmentation allows immediate feedback for each function while preventing notification overlap through coordinated timing management.
Solution Approach 2:
The notification system dynamically adjusts timing and methods based on real-time notification states. When notifications are detected, the system automatically modifies subsequent notification parameters to avoid overlap, maintaining real-time responsiveness while preventing information loss due to user confusion.
Data Source
AI summary
Provided are a medical image processing device, a medical image processing method, and a program that enable a user to correctly recognize a plurality of recognition results. A medical image processing device of the present disclosure includes a processor, in which the processor is configured to acquire a plurality of time-series medical images, perform first recognition processing on a first medical image among the plurality of time-series medical images, perform second recognition processing different from the first recognition processing on the first medical image or a second medical image, which is later in time series than the first medical image, among the plurality of time-series medical images, notify of a first recognition result of the first recognition processing, notify of a second recognition result of the second recognition processing, and change a notification method for the second recognition result according to a notification state of the first recognition result.