Surgical Robot Arm Configuration Using Historical Procedure Data
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Solution Overview
Problem
Robotic surgical systems face challenges in ensuring consistent, safe, and efficient initial configuration of robotic arms and tool attachment, which can lead to collisions and surgeon errors during surgical procedures.
Innovation Solution
A computer-implemented method that utilizes historical configuration data from previous surgeries to determine initial positions, orientations, and tool selections for robotic arms, providing real-time adjustments and notifications to users to align with expected configurations, thereby reducing the risk of collisions and improving surgical precision.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If manual configuration of robotic arms is performed by the surgeon, then flexibility and adaptability are maintained, but configuration time increases and error risk increases
Solution Approach 1:
The system performs preliminary configuration actions by automatically determining initial positions, orientations, and tool selections for robotic arms based on historical data from similar surgical procedures. This pre-computation of configuration parameters eliminates manual setup time while ensuring accuracy through data-driven defaults that can be reviewed and adjusted by the surgeon.
Solution Approach 2:
The system copies successful configuration patterns from historical surgical procedures to the current procedure. By accessing a database of previously successful robotic arm configurations and tool selections, the system replicates proven setups, reducing both configuration time and error risk while maintaining adaptability through surgeon review capabilities.
2Measurement precision
If historical configuration data is used to automatically determine initial settings, then configuration speed and accuracy improve, but system complexity increases
Solution Approach 1:
The system implements a universal configuration management platform that handles multiple functions: storing historical data, analyzing surgical procedures, computing optimal configurations, and providing real-time guidance. This multi-functional system consolidates what would otherwise require separate tools, reducing overall system complexity while improving precision.
Solution Approach 2:
The system performs self-service by automatically configuring robotic arms based on historical data without requiring manual intervention for each parameter. The system independently accesses historical configurations, computes optimal settings, and provides real-time feedback, reducing the cognitive burden on surgeons while maintaining high precision.
3Reliability
If real-time monitoring and notifications are implemented, then configuration accuracy and safety improve, but information processing requirements increase
Solution Approach 1:
The system implements continuous feedback loops that monitor robotic arm positions and configurations in real-time, comparing actual states against expected configurations from historical data. When deviations are detected, the system provides immediate notifications to the surgeon, enabling corrective action while maintaining surgical safety without overwhelming data processing requirements.
Data Source
AI summary
Systems and methods for configuring and instructing movement of a surgical device using configuration data from previous surgeries are described herein. Robotic surgical systems described herein include robotic arms with interchangeable surgical tools. The kinematics of the robotic arms are compared against configuration data from previous procedures and differences between the kinematics and the configuration data are identified. The configuration data also includes simulations of robotic surgical systems throughout a procedure. Potential collisions or complications from present and future configurations are identified. The differences and instructions for resolving the differences and potential collisions are presented to a user for correction.