Robotic Surgical System for Implant Insertion
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Solution Overview
Problem
Conventional surgical methods are inadequate in preventing surgical errors and adverse events during procedures, as they rely heavily on human judgment and require extensive training, leading to variability and inefficiency in surgical implant insertion.
Innovation Solution
A robotic surgical system that uses imaging devices to create a virtual model of the patient's body, generates an implantation plan, and automates the insertion of surgical implants with precise control, reducing human error and improving precision through machine learning algorithms and real-time monitoring.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If conventional surgical methods are used, then human judgment and training are required for implant insertion, but this leads to variability and inefficiency in surgical procedures
Solution Approach 1:
The patent replaces the mechanical system of manual implant insertion with an automated robotic system. The robotic arm, controlled by a surgical robot, performs the implant insertion tasks that would otherwise be performed manually by a surgeon, thereby eliminating human variability and improving both precision and efficiency
Solution Approach 2:
The robotic system enables self-service automation where the system performs surgical tasks autonomously based on pre-programmed instructions and real-time guidance. The robotic arm automatically positions and inserts implants without continuous manual intervention, improving surgical efficiency while maintaining precision through automated control
2Reliability
If conventional surgical methods are used, then extensive training is required for surgeons, but this results in variability in surgical outcomes
Solution Approach 1:
The patent replaces the complex human skill-based system with an automated robotic system. The robotic arm, guided by computer vision and pre-programmed algorithms, performs implant insertion tasks that require extensive surgical training, thereby eliminating variability in outcomes while the system handles the complexity of the procedure
3Manufacturing precision
If robotic automation is introduced, then surgical precision and stability are enhanced, but this increases the complexity of the surgical system
Solution Approach 1:
The patent introduces an intermediary computer vision system that bridges the gap between the robotic arm and the surgical site. The vision system provides real-time guidance and tracking, enabling precise implant insertion while the computer-controlled robotic arm handles the complex positioning and insertion tasks
Solution Approach 2:
The patent replaces manual surgical precision with computer-controlled robotic precision. The robotic arm, guided by algorithms and real-time imaging, achieves superior implant insertion precision while the system's complexity is managed through automated control and integration of multiple subsystems
4Reliability
If conventional communication-based methods are used, then patient safety initiatives are implemented, but these methods are insufficient to prevent surgical errors
Solution Approach 1:
The patent implements real-time feedback through computer vision and image processing systems that continuously monitor the surgical site. The system provides real-time guidance and verification during implant insertion, ensuring accurate positioning and reducing the risk of surgical errors by constantly feedback to the robotic control system
Solution Approach 2:
The patent replaces human communication-based verification with automated computer-based verification systems. The robotic system, guided by pre-programmed protocols and real-time imaging, performs verification of implant placement, thereby improving patient safety by eliminating communication breakdowns and ensuring accurate information transmission throughout the surgical process
Data Source
AI summary
Methods, apparatuses, and systems for robotic insertion of a screw, a rod, or another component of a surgical implant into a patient are disclosed. Clinical data from previous surgical procedures or information received from a supervising surgeon can be leveraged to minimize the risk of harm to the patient and improve outcomes. The methods disclosed thus provide more precise placement of implanted surgical components and implants.