Endoscopic Component Control Using Real-Time Image Feedback
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Solution Overview
Problem
Current endoscopic systems require manual adjustments for pressure and flow control during procedures, which can disrupt the surgical rhythm, require additional personnel, and may lead to suboptimal image quality due to lack of real-time image analysis for automation.
Innovation Solution
An endoscopic system that integrates an image analysis engine and control engine to analyze images in real-time, automatically adjusting medium management and other components to optimize visualization and procedural efficiency.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If manual adjustments are made to pressure and flow control during endoscopic procedures, then the procedure team can respond to visualization needs, but the surgical rhythm is disrupted and additional personnel are required
Solution Approach 1:
The endoscopic system automatically monitors image quality and adjusts pressure and flow parameters without requiring manual intervention from the procedure team. The system serves itself by detecting visualization conditions and making autonomous adjustments to maintain optimal imaging, thereby preserving surgical rhythm and eliminating the need for additional personnel.
Solution Approach 2:
The system continuously analyzes endoscopic images in real-time and uses this feedback to automatically adjust pressure and flow control parameters. The feedback loop closes by comparing current image quality against target conditions and making corrective adjustments, enabling responsive control without manual intervention.
2Ease of operation
If manual adjustments are made to pressure and flow control, then the procedure team can attempt to optimize visualization, but suboptimal image quality results due to lack of real-time image analysis
Solution Approach 1:
The system replaces manual mechanical adjustments with an automated image analysis and control system. Computer vision algorithms analyze endoscopic images in real-time and automatically adjust pressure and flow parameters, substituting human judgment and manual control with precise automated decision-making based on actual image quality metrics.
Solution Approach 2:
Real-time image analysis provides continuous feedback on actual visualization quality, enabling the system to make precise adjustments to pressure and flow parameters. The feedback mechanism directly links image quality assessment to parameter adjustment, ensuring optimal imaging conditions are maintained throughout the procedure.
3Reliability
If pumps are used to control flow and pressure, then better control is achieved, but the system requires manual input and interrupts the procedure rhythm
Solution Approach 1:
The pump system operates autonomously by receiving control signals from the image analysis engine. The system self-regulates flow and pressure based on real-time image quality assessment, eliminating the need for manual pump operation while maintaining reliable control throughout the procedure without interrupting surgical rhythm.
Solution Approach 2:
The pump control system receives continuous feedback from the image analysis engine regarding actual visualization conditions. This feedback enables dynamic adjustment of pump operation to maintain optimal flow and pressure, linking control directly to procedural needs rather than relying on predetermined settings or manual intervention.
4Reliability
If additional personnel are assigned to adjust pressure and flow manually, then control expertise can be applied, but extra costs and potential sterile field contamination occur
Solution Approach 1:
The endoscopic system performs all pressure and flow control functions autonomously through integrated image analysis and automated control algorithms. The system replaces the need for additional trained personnel with self-contained automated control, eliminating hiring costs, training requirements, and sterile field contamination risks while maintaining expert-level control through sophisticated algorithms.
Solution Approach 2:
The system replaces human operators with an automated control system that uses computer vision and control algorithms to manage pressure and flow. This substitution eliminates the need for additional personnel while maintaining or exceeding the quality of control that would be achieved by trained staff, thereby reducing operational costs and complexity.
Data Source
AI summary
Endoscopic image analysis, endoscopic procedure analysis, and/or component control systems, methods and techniques are disclosed that can analyze images of an endoscopic system and/or affect an endoscopic system to enhance operation, user and patient experience, and usability of image data and other case data.