Surgical Device Control via Perioperative Context Analysis
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Solution Overview
Problem
Current surgical systems lack the ability to contextually control surgical devices based on real-time perioperative data and visual feedback from surgical procedures, limiting their adaptability and efficiency during operations.
Innovation Solution
A computer-implemented method that receives perioperative data and visual images from surgical scopes, determines attributes and procedural context, and adjusts the control of surgical devices accordingly, enabling adaptive control of surgical devices during procedures.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If surgical systems use traditional control methods without real-time data integration, then device operation is simple and reliable, but adaptability and precision during surgical procedures are limited
Solution Approach 1:
The surgical system implements real-time feedback loops where sensors continuously monitor surgical site conditions (temperature, pressure, fluid properties) and feed this data back to the control circuit. The control circuit dynamically adjusts device parameters based on this feedback, enabling adaptive control that responds to actual surgical conditions rather than following pre-programmed sequences alone.
Solution Approach 2:
The system employs intelligent algorithms that automatically analyze perioperative data and visual feedback from scopes, determine procedural context, and adjust device control parameters without requiring constant manual intervention. The control system serves itself by making real-time decisions based on integrated data analysis, reducing the need for complex manual control while improving adaptability.
2Measurement precision
If surgical systems integrate real-time perioperative data and visual feedback for contextual control, then precision and safety are improved, but system complexity and data processing requirements increase
Solution Approach 1:
The system segments data processing into distinct functional modules: data acquisition from multiple sensors, visual feedback processing from scopes, procedural context determination, and control parameter adjustment. Each module handles specific aspects of data analysis independently, then integrates results to achieve precise contextual control without overwhelming system complexity.
Solution Approach 2:
The control circuit acts as an intermediary between raw sensor data/visual feedback and device control actions. It processes perioperative data and visual feedback to determine procedural context, then translates this context into appropriate control parameters. This intermediary layer simplifies the overall system architecture by centralizing the complex decision-making logic in a dedicated control component.
3Productivity
If surgical devices operate without contextual awareness of procedural data, then device operation is straightforward and reliable, but the ability to optimize performance based on real-time conditions is reduced
Solution Approach 1:
The surgical device is designed with multi-functionality, capable of performing both traditional straightforward operations and context-optimized procedures. The control system can operate in multiple modes: basic automated control for simple tasks, and intelligent contextual control when real-time data integration is available. This universality allows the device to adapt its information processing level to match procedural complexity requirements.
Solution Approach 2:
The system performs preliminary analysis of perioperative data and visual feedback before executing control adjustments. The control circuit determines procedural context in advance of specific device actions, allowing optimization of performance parameters based on anticipated surgical needs. This preliminary contextual assessment enables proactive performance optimization rather than reactive adjustments.
Data Source
AI summary
A computer-implemented method for contextually controlling a surgical device is disclosed. The method includes receiving, by a computer system, perioperative data from the surgical device, the perioperative data associated with a surgical procedure; receiving, by the computer system, images from a scope, the images visualizing the surgical device during the surgical procedure; determining, by the computer system, an attribute of the surgical device from the images; determining, by the computer system, procedural context data based at least on the perioperative data and the attribute of the surgical device; and controlling, by the computer system, the surgical device according to the procedural context data.