Endoscope Tip Cleaning Control for Smoke-Obscured Surgery
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Solution Overview
Problem
Endoscopic procedures are hindered by smoke interference with the surgical site image, and there is a need for a fast, easy, and reliable method to maintain image quality during such procedures.
Innovation Solution
A surgical system with a system controller that automatically enhances video images by interacting with a video enhancer and other surgical devices to address conditions like smoke interference, ensuring improved image quality without manual user intervention.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If smoke is generated during endoscopic procedures to facilitate tissue manipulation, then surgical operations can be performed, but image quality deteriorates due to smoke interference
Solution Approach 1:
The system detects smoke presence and automatically activates the video enhancer to compensate for image degradation, converting the harmful effect of smoke into a controlled parameter that triggers automated image quality restoration
Solution Approach 2:
The system continuously monitors video image quality and smoke conditions, using this feedback to dynamically adjust the video enhancer settings and maintain optimal image quality throughout the surgical procedure
2Object-affected harmful factors
If manual control of video enhancement is used, then image quality can be improved, but procedure time increases and operator workload increases
Solution Approach 1:
The video enhancer system operates autonomously based on smoke detection, eliminating the need for operator intervention and automatically maintaining image quality without adding to procedure time
Solution Approach 2:
The system proactively activates image enhancement before severe smoke accumulation occurs, preventing image degradation rather than reacting to it, thereby maintaining continuous optimal viewing conditions
3Extent of automation
If automated smoke detection and response is implemented, then image quality is maintained without manual intervention, but device complexity increases
Solution Approach 1:
The smoke detection and video enhancement functions are merged into a single integrated system that operates autonomously, reducing the need for separate manual controls and simplifying the overall user interface despite the increased automation
Data Source
AI summary
An imaging system for viewing a surgical site, the imaging system including a system controller configured to: receive and process video images of the surgical site captured by an endoscopic camera coupled to an endoscope to detect at least one video signature corresponding to at least one condition that interferes with a quality of the video images; and in response to detecting the at least one video signature corresponding to the at least one condition that interferes with the quality of the video images, control a fluid system to clean a tip of the endoscope based on at least one learned preference that was learned by the system controller from user action over time.


