Patient-Specific Spinal Implant Design via Biomechanical Simulation
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Solution Overview
Problem
Current medical implant technologies lack personalized approaches, often resulting in inefficient diagnostic processes and suboptimal treatment plans for patients, leading to unnecessary tests and potential misalignment of treatment with individual patient needs.
Innovation Solution
A system and method for generating patient-specific medical treatment plans by creating a virtual biomechanical model of the patient's anatomy, simulating surgical procedures, and comparing the results with reference data to determine personalized surgical plans, including the design and manufacturing of customized medical implants.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of manufacture
If standardized medical implant technologies are used, then device availability and ease of manufacture are improved, but treatment effectiveness and patient-specific fit deteriorate
Solution Approach 1:
The patent segments the medical implant system into modular components that can be individually customized. The implant device includes separate elements such as vertebral body replacements, fusion cages, and fixation devices that can be independently designed and manufactured to match specific patient anatomical requirements while maintaining standardized production processes for each module.
Solution Approach 2:
The patent applies local quality by customizing specific regions of the implant to match patient-specific anatomy. The system creates implants with varying densities, porosities, and geometric features in different zones to optimize bone integration, load distribution, and soft tissue attachment at specific locations within the implant structure.
2Loss of information
If comprehensive diagnostic tests are performed, then diagnostic information completeness is improved, but diagnostic process efficiency and resource utilization deteriorate
Solution Approach 1:
The patent performs preliminary action by using artificial intelligence and machine learning algorithms to pre-analyze patient data, predict which diagnostic tests will be most valuable, and create a prioritized testing sequence. This allows the system to obtain critical diagnostic information faster by focusing on high-yield tests first, reducing unnecessary testing while maintaining diagnostic completeness.
Solution Approach 2:
The patent implements feedback loops where results from initial diagnostic tests automatically inform subsequent testing decisions. The AI system continuously updates the diagnostic plan based on emerging data, adjusting which additional tests are needed and in what sequence, thereby optimizing the diagnostic process efficiency while ensuring all necessary information is gathered.
Data Source
AI summary
The present technology includes systems and methods for generating and implementing patient-specific diagnostic plans. The diagnostic plans include one or more specific diagnostic tests that should be performed on a particular patient based on the patient's demographics and/or health complaints. The diagnostic tests can be selected to determine specific diagnostic information that is expected to be useful in determining patient-specific surgical plans for the particular patient.