Robotic Surgical Data Visualization for Adaptive Procedure Training
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Solution Overview
Problem
Existing surgical planning systems for arthroplasties, such as PKA and TKA, often require modifications during surgery due to insufficient preoperative planning, leading to inefficiencies and potential deviations from the intended surgical plan.
Innovation Solution
A computer-assisted surgical system that utilizes robotic surgical data to generate a graphical depiction of the surgical procedure, providing real-time feedback and allowing surgeons to view and modify the plan through a graphical user interface, including augmented reality, to ensure accurate implant placement and bone resection.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If a predefined surgical plan is used for bone resection and implant placement, then surgical efficiency is improved, but the ability to adapt to intraoperative findings deteriorates
Solution Approach 1:
The surgical plan is transformed from a static predefined set of instructions into a dynamic, modifiable plan that can be adjusted in real-time based on intraoperative findings. The system allows surgeons to modify bone resection parameters, implant positioning, and surgical approach while maintaining the structured framework of a predefined plan, thus achieving both efficiency and adaptability.
Solution Approach 2:
The system incorporates intraoperative feedback mechanisms that allow surgeons to compare actual surgical progress against the predefined plan and make data-driven adjustments. Real-time visualization and measurement tools provide feedback on bone resection accuracy and implant positioning, enabling informed modifications to the surgical plan while maintaining overall efficiency.
2Manufacturing precision
If detailed preoperative planning is performed, then surgical precision is improved, but the time required for planning deteriorates
Solution Approach 1:
The system performs preliminary actions by pre-calculating optimal implant positions, bone resection guides, and surgical pathways before the actual surgery. These preoperative preparations are done efficiently using automated algorithms that process patient-specific anatomy data, reducing the time required while maintaining high precision standards.
Solution Approach 2:
Traditional manual measurement and planning methods are replaced with automated computer-based systems that use imaging data and algorithms to generate precise surgical plans. This substitution of mechanical/manual processes with computational methods dramatically reduces planning time while improving precision through consistent, algorithm-driven calculations.
3Adaptability or versatility
If manual surgical techniques are used, then flexibility in handling unexpected conditions is improved, but measurement accuracy and consistency deteriorate
Solution Approach 1:
The robotic system serves as an intermediary between the surgeon's intent and the actual bone resection/implant placement. It provides automated, high-precision measurement and guidance while allowing the surgeon to maintain control and adapt to unexpected conditions. The intermediary robotic arm executes precise movements based on pre-planned trajectories while enabling real-time adjustments by the surgeon.
Solution Approach 2:
The system creates accurate digital copies or virtual models of the patient's anatomy from imaging data, allowing for precise preoperative planning and simulation. These virtual models serve as templates that guide the actual surgical procedure, ensuring measurement accuracy while allowing flexibility in handling deviations from the plan through real-time modifications.
Data Source
AI summary
A method for utilizing robotic surgical data for providing surgical training is disclosed. The method includes collecting, by a computing device, data related to a surgical procedure from one or more components of a computer-assisted surgical system. At least one of the one or more components is a robotically controlled surgical device. A graphical depiction representative of the surgical procedure is generated based on the collected data from the one or more components of the computer-assisted surgical system and one or more images providing a visual depiction of a patient's anatomy. A graphical user interface is output to a display device. The graphical user interface includes the graphical depiction of the surgical procedure and the collected data from the one or more components of the computer-assisted surgical system, to provide surgical training.