Robotic Surgery System Physician Input Integration
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Solution Overview
Problem
Current computer-assisted robotic surgery for orthopedic prosthesis implantation lacks the ability to incorporate physician-specific input, leading to potential misalignment and reduced longevity of prostheses due to limited mechanical control and interference with soft tissue.
Innovation Solution
A system and method that allows for increased physician-specified input during the planning and execution of robotic surgery, using advanced computing to generate customized cut files with cutting parameters, incorporating safety checks and feedback loops for precise alignment and execution.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If computer-assisted robotic surgery is used to improve mechanical control and precision, then manufacturing precision and reliability are improved, but the ability to incorporate physician skill and experience is reduced
Solution Approach 1:
The surgical system is segmented into distinct functional modules: a robotic component for executing high-precision cutting operations based on computer-generated plans, and a planning component that allows physicians to input their expertise and preferences. This segmentation enables each component to excel at its specialized function while working together as an integrated system.
Solution Approach 2:
A computer-based planning system acts as an intermediary between the physician's expertise and the robotic execution system. The physician provides input parameters and preferences through the computer interface, which processes this information along with patient-specific anatomical data to generate optimized cutting plans that are then executed by the robotic system.
2Productivity
If pre-existing cut files are used to standardize the surgical process, then productivity is improved, but harmful factors increase due to soft tissue interference and unnecessary cutting
Solution Approach 1:
The cutting plan is customized to account for local variations in patient anatomy and specific surgical conditions. Rather than applying a standardized cut file universally, the system generates location-specific cutting parameters that adapt to the unique characteristics of each patient's bone structure and soft tissue configuration, allowing precise control over which areas are cut and which are preserved.
Solution Approach 2:
The system performs preliminary planning and simulation before the actual surgery, allowing the physician to review and adjust the cutting plan in advance. This preliminary action includes virtual visualization of the proposed cuts and their effects, enabling optimization of the surgical approach to avoid soft tissue interference and unnecessary bone removal before committing to the actual procedure.
3Manufacturing precision
If mechanical control is increased through robotic assistance, then manufacturing precision is improved, but loss of information occurs regarding physician preference and patient-specific considerations
Solution Approach 1:
The system captures physician preferences and patient-specific considerations during the preoperative planning phase, before the robotic execution begins. The physician inputs their expertise, preferences, and clinical judgments into the planning software, which stores this information for use during surgery. This preliminary capture of information ensures that nuanced decision-making factors are preserved and can guide the robotic system's actions.
Solution Approach 2:
The system implements feedback loops where the computer-based planning software continuously references and incorporates physician input and patient-specific data throughout the surgical process. The robotic system receives guidance based on this feedback, allowing dynamic adjustment of cutting parameters to reflect both precision requirements and physician preferences rather than operating on fixed pre-programmed instructions alone.
Data Source
AI summary
Methods, devices and systems for the planning and execution of computer-assisted robotic surgery are provided. The methods include methods to collect information about bones and prostheses, use the information to create virtual models and simulations, optionally receive input based on user discretion in generating the cut file, and to generate instruction for the execution of cut paths during the surgery. The system and devices include computers and peripherals and set-ups to link the components together into functional systems.