Surgical Procedure Planning With Predictive Simulation Visualization
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Solution Overview
Problem
Surgical simulation platforms are limited in capabilities, scope, and applicability, hindering their integration into surgical processes such as pre-operative planning, intra-operative support, and post-operative analysis.
Innovation Solution
A computing device configured to generate surgical procedure plans using machine learning models, integrating with visualization systems, robotic systems, and intelligent instruments, and utilizing cloud-based analytics for enhanced surgical simulation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If surgical simulation platforms are specialized for specific procedures or equipment, then simulation fidelity for that specific application is improved, but adaptability to other surgical procedures and integration with broader surgical processes deteriorates
Solution Approach 1:
The surgical simulation platform is designed to perform multiple functions across different surgical procedures and stages. The system can simulate various surgical tasks, integrate with different surgical equipment, and support multiple workflow stages including pre-operative planning, intra-operative support, and post-operative analysis, making it universally applicable rather than procedure-specific
Solution Approach 2:
The simulation platform employs dynamic configuration where surgical procedures, equipment, and simulation parameters can be adapted and reconfigured based on specific surgical needs. The system dynamically adjusts simulation fidelity and scope to match the requirements of different surgical procedures while maintaining core simulation capabilities
2Adaptability or versatility
If surgical simulation platforms integrate multiple capabilities and workflows, then applicability and scope are improved, but system complexity increases
Solution Approach 1:
The simulation platform is divided into modular functional components that can be independently developed, configured, and integrated. Each module handles specific surgical workflows or equipment simulations, allowing the system to achieve broad scope while managing complexity through organized segmentation of functions
Solution Approach 2:
The system employs intermediary layers and standardized interfaces that facilitate integration between different simulation components and external surgical systems. These intermediaries manage complexity by providing standardized communication protocols and abstraction layers that simplify interactions between diverse system components
3Measurement precision
If surgical simulation uses comprehensive data processing and machine learning models, then simulation accuracy and predictive capability are improved, but computational time and processing requirements increase
Solution Approach 1:
Machine learning models are trained in advance on historical surgical data to establish predictive relationships before actual surgical simulations are performed. This preliminary training phase allows the system to make accurate predictions during surgical simulations without requiring real-time complex computations, thus reducing computational time during critical surgical planning and execution
Data Source
AI summary
A computing device for generating a surgical procedure plan via surgical simulation may include a processor. The processor may be configured to obtain an indication of a surgical task. The surgical task may be associated with a surgical step of the surgical procedure plan. The processor may be configured to obtain a surgical choice and a corresponding predicted surgical outcome. The surgical choice and the corresponding predicted surgical outcome may be associated with the surgical task. The processor may be configured to generate a visualization of the surgical choice and the corresponding predicted surgical outcome in a simulated environment. The processor may be configured to obtain an indication of the surgical choice being selected. The processor may be configured to store the surgical choice in the surgical procedure plan.