Endoscope Lesion Tracking and Disappearance Notification
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Solution Overview
Problem
Current endoscopic observation systems rely heavily on AI for lesion detection, but doctors may overlook or be distracted by these detection results, leading to inaccurate or incomplete observations during pathological diagnosis.
Innovation Solution
An endoscope observation assistance apparatus that includes an image information acquisition part, a lesion information acquisition part, a determination part, and a notification part to track lesions and alert doctors when they disappear from the endoscopic image, using a combination of visual, auditory, and vibrational notifications to ensure accurate observation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If AI-based automatic lesion detection is used to assist endoscopic observation, then lesion detection accuracy is improved, but doctors may be distracted or overwhelmed by detection results leading to observation errors
Solution Approach 1:
The system implements feedback by notifying doctors when a detected lesion disappears from the endoscopic image. The notification part provides real-time feedback about the status of AI-detected lesions, alerting doctors to potentially overlooked lesions when they disappear, thus improving observation reliability without compromising detection accuracy
Solution Approach 2:
The notification part acts as an intermediary between the AI detection system and the doctor. It translates AI detection results into actionable notifications about lesion disappearance, mediating the interaction between automated detection and human observation to prevent distraction while maintaining accuracy
2Reliability
If multiple notification methods (visual, auditory, vibrational) are used to alert doctors of lesion disappearance, then notification reliability is improved, but device complexity increases
Solution Approach 1:
The system merges multiple notification methods (visual display, auditory alarm, vibrational feedback) into a single integrated notification part. This combination approach delivers reliable multi-sensory notifications while consolidating the complexity into one functional module rather than separate systems
Solution Approach 2:
The notification part performs multiple functions simultaneously: it displays visual notifications, generates auditory alarms, and produces vibrational feedback. This multi-functionality achieves comprehensive notification reliability while using a single versatile component rather than multiple specialized devices
Data Source
AI summary
An endoscope observation assistance apparatus includes an image information acquiring part to acquire and display a captured image of a luminal organ captured by the endoscope device on a display, a lesion information acquisition part to detect a predetermined lesion based on the captured image and to acquire lesion information regarding the lesion, a lesion disappearance determination part to track the lesion based on the captured image and the lesion information and to determine whether or not the lesion has disappeared from the captured image, and a notification part to notify a determination result when the lesion disappearance determination part determines that the lesion has disappeared from the captured image. Alternatively, the notification part may notify a lesion detection when a short time period passes after the lesion detection by the lesion information acquisition part.


