Surgical Implant Placement System Using Historical Data
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Solution Overview
Problem
Conventional surgical procedures rely heavily on surgeon skill and experience for designing and placing surgical implants, leading to variability in patient outcomes due to lack of detailed data-driven approaches, resulting in insufficient precision and increased risk of adverse events.
Innovation Solution
The development of a system that uses processors to generate customized surgical implant plans based on historical patient data, modifying designs and implantation paths in real-time to optimize implant placement and reduce tissue damage, incorporating machine learning for improved accuracy and efficiency.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If conventional surgical methods relying on surgeon skill and experience are used, then surgical procedures can be performed with existing techniques, but precision in implant placement is insufficient and variability in patient outcomes increases
Solution Approach 1:
The system performs preliminary actions by generating a customized surgical implant plan before the actual surgery. The processor creates a virtual model of the patient's anatomy, determines optimal implant placement positions, and plans surgical paths in advance based on historical patient data and anatomical characteristics, thereby improving precision and reducing variability in outcomes
Solution Approach 2:
The system incorporates feedback mechanisms by comparing the planned implant placement with real-time surgical data. The processor modifies the surgical plan based on feedback from surgical progress and patient-specific anatomical variations discovered during surgery, ensuring optimal placement while adapting to actual conditions
2Manufacturing precision
If detailed data-driven approaches are implemented, then implant placement precision can be improved, but system complexity increases due to need for processors, historical data storage, and real-time modification capabilities
Solution Approach 1:
The surgical system performs multiple functions through a single integrated processor that generates customized implant plans, stores and processes historical patient data, creates virtual anatomical models, determines optimal placement positions, and modifies surgical paths in real-time. This multi-functional approach consolidates complexity into a unified system rather than requiring separate devices for each function
Solution Approach 2:
The system creates a virtual copy or digital model of the patient's anatomy before surgery. This virtual model allows the processor to simulate and optimize implant placement without physical intervention, reducing the need for complex physical surgical tools and simplifying the actual surgical procedure while maintaining high precision
3Reliability
If customized surgical plans are generated for each patient, then adverse events can be reduced and surgical outcomes improved, but time required for surgical planning and execution increases
Solution Approach 1:
The system performs detailed surgical planning in advance by generating customized implant plans before surgery based on historical data and virtual anatomical modeling. This preliminary customization of the surgical plan reduces the time required during actual surgery while maintaining high outcome quality, as the complex decision-making is completed beforehand
Solution Approach 2:
The surgical system dynamically adapts the customized plan in real-time during surgery based on actual anatomical variations and surgical progress. The processor modifies implant placement positions and surgical paths dynamically, allowing the system to maintain high precision and reduce adverse events without requiring complete re-planning, thereby minimizing time loss
Data Source
AI summary
Methods, apparatuses, and systems for designing, modifying, and installing a surgical implant optimized for a patient's unique physiology are disclosed. The methods are based upon data from surgical implants installed in other patients. Allowing patient outcomes from previously installed surgical implants to influence the design, placement, and surgical tool path for enable the implanting of surgical implants having the greatest likelihood of a successful patient outcome.