Automated Phacoemulsification Control via Image Analysis
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Solution Overview
Problem
Current ocular surgical procedures, such as phacoemulsification, face challenges in quickly and accurately responding to subtle or complex environmental changes due to limitations in human response time and perception, which can lead to inefficiencies and potential complications during surgical instrument adjustments.
Innovation Solution
A system comprising an image analysis module to detect surgical events from image data and an instrument control module to generate and transmit instructions for real-time adjustments of surgical instrument parameters, enabling automated and dynamic control of medical instruments based on detected events.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If manual monitoring and adjustment of surgical instrument parameters is used, then the surgeon can control the procedure, but the response time to detect and react to subtle environmental changes is delayed due to human perception limitations
Solution Approach 1:
The patent replaces the manual mechanical monitoring system with an automated image analysis system that uses computer vision algorithms to detect surgical events. The system processes video feeds from surgical microscopes and cameras to automatically identify critical events such as capsule rupture or vitreous loss, eliminating the delay inherent in human visual perception and manual intervention.
Solution Approach 2:
The system enables self-monitoring and self-adjustment capabilities by automatically analyzing surgical field images and triggering appropriate responses without requiring continuous manual inspection by the surgeon. The automated detection and response system serves itself to maintain optimal surgical parameters and alert to complications.
2Adaptability or versatility
If the surgeon manually monitors all environmental cues during surgery, then comprehensive control is maintained, but the complexity of processing multiple sensory inputs exceeds human cognitive capacity
Solution Approach 1:
The patent segments the complex task of environmental monitoring into distinct functional modules: image acquisition from multiple sources, preprocessing of video feeds, event detection algorithms, and response generation. Each module handles a specific aspect of monitoring, making the overall system more manageable and adaptable while reducing the cognitive burden on the surgeon.
Solution Approach 2:
The system creates a universal monitoring platform that can detect multiple types of surgical events across different procedures using the same core image analysis infrastructure. The system adapts to various surgical contexts by configuring detection parameters and thresholds, providing versatile environmental cue detection without requiring separate systems for each surgical scenario.
3Productivity
If automated image analysis is implemented to detect surgical events, then response speed and accuracy improve, but the system complexity and computational requirements increase
Solution Approach 1:
The system performs preliminary processing of video feeds by pre-processing images to enhance relevant features and reduce noise before event detection algorithms are applied. Critical visual patterns are pre-identified and categorized, allowing faster real-time detection during surgery while reducing the computational complexity of the main detection process.
Data Source
AI summary
A design for dynamically adjusting parameters applied to a surgical instrument, such as an ocular surgical instrument, is presented. The method includes detecting surgical events from image data collected by a surgical microscope focused on an ocular surgical procedure, establishing a desired response for each detected surgical event, delivering the desired response to the ocular surgical instrument as a set of software instructions, and altering the surgical procedure based on the desired response received as the set of software instructions.