Robotic Surgical System Setup Optimization via Model Profiles
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Solution Overview
Problem
Robotic surgical systems face challenges in setup efficiency due to the need for customization for various factors like procedure type, patient anatomy, and operating room configurations, leading to time-consuming setups and potential collisions, which can cause procedural inefficiencies and patient safety issues.
Innovation Solution
A system that includes a processor and memory to store and modify model profiles for robotic surgical systems, recommending initial positions and setups based on movement data and collision analysis, facilitating communication to users through displays for improved setup guidance.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If robotic surgical systems are customized for each procedure to account for procedure type, patient anatomy, and operating room configuration, then the system adapts to specific surgical needs, but the setup time increases significantly
Solution Approach 1:
The system stores multiple pre-configured model profiles that have been prepared in advance for different surgical procedures. These profiles contain pre-determined arm positions, instrument configurations, and setup parameters that can be quickly loaded and applied during surgery, eliminating the need to perform complex customization tasks from scratch for each procedure.
Solution Approach 2:
The system creates and stores digital copies of successful surgical setups as model profiles. These profiles can be replicated and modified for similar procedures, allowing the system to reuse proven configurations rather than starting from scratch. The processor compares actual surgical data with stored model profiles to identify and copy effective setup patterns.
2Adaptability or versatility
If robotic system arms are positioned to accommodate various surgical approaches and patient anatomies, then the system achieves greater versatility, but the risk of collisions between arms and other objects increases
Solution Approach 1:
The system continuously monitors the positions and movements of robotic arms during surgical procedures using sensors and movement data. The processor analyzes this real-time data to detect potential collision risks and provides feedback to adjust arm positions or alert the surgical team, enabling proactive collision prevention while maintaining surgical flexibility.
Solution Approach 2:
The system pre-calculates and stores safe operating zones and collision avoidance parameters in the model profiles. Before executing surgical movements, the system checks planned trajectories against stored safety data and prevents movements that would lead to collisions, allowing versatile arm positioning while maintaining safety through pre-established protective measures.
Data Source
AI summary
Various exemplary methods, systems, and devices for gathering and analyzing data for robotic surgical systems are provided. In general, the methods, systems, and devices can allow data to be gathered regarding use in a surgical procedure of a robotic surgical system that includes a plurality of movable arms each configured to couple to a surgical instrument. The gathered data can be used to determine a recommended initial position of the arms for future surgical procedures using the robotic surgical system. The recommended initial position can be provided to users of the robotic surgical system in the future surgical procedures.


