Cochlear Electrode Lead Insertion Guidance With Patient-Specific AI
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Solution Overview
Problem
The correct insertion and placement of an electrode lead within a cochlea for a cochlear implant is challenging due to recipient-specific anatomical variations and intraoperative factors, making it difficult for surgeons to optimize insertion parameters effectively.
Innovation Solution
A machine learning model-based system that utilizes geometric and procedural data to provide predictive intraoperative measurement profiles and real-time recommendations for lead insertion, incorporating geometric models of the cochlea, procedural attributes, and intraoperative measurements to guide surgeons in optimizing insertion parameters.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If a surgeon attempts to account for all recipient-specific factors and interdependent variables when planning and executing lead insertion, then the quality and personalization of surgical care improves, but the complexity of decision-making and procedural planning becomes unmanageable
Solution Approach 1:
The patent introduces an AI-based decision support system as an intermediary between the surgeon and the complex set of recipient-specific factors. The system processes anatomical data, cochlear geometry, and procedural parameters to generate personalized insertion recommendations, thereby managing the complexity while maintaining high adaptability to individual patient needs
Solution Approach 2:
The patent replaces the manual mechanical process of surgical planning with an automated computational system. Instead of surgeons manually analyzing and integrating multiple factors, the system automatically processes recipient-specific data, performs simulations, and generates optimized insertion plans, reducing the cognitive burden while preserving personalized care
2Manufacturing precision
If traditional lead insertion procedures are performed without real-time adaptive guidance, then the procedural workflow remains simple, but the precision of lead placement and protection of residual hearing deteriorates
Solution Approach 1:
The patent performs preliminary computational actions before the actual surgery by creating virtual models of the recipient's cochlea, simulating lead insertion paths, and predicting outcomes. This pre-operative planning enables precise lead placement during surgery without requiring complex real-time guidance systems, as the optimization work is completed in advance
Solution Approach 2:
The patent implements feedback mechanisms where intraoperative measurements and observations are continuously compared against predicted outcomes from the virtual model. This allows for real-time adjustments to the insertion procedure while maintaining a relatively simple workflow, improving precision without proportionally increasing procedural complexity
Data Source
AI summary
An illustrative insertion management system may be configured to provide, as a first input to a machine learning model, geometric model data specific to a recipient of a cochlear implant and representative of a geometrical model of a cochlea of the recipient, provide, as a second input to the machine learning model, procedure data representative of one or more contextual attributes of a lead insertion procedure in which an electrode lead is inserted to the cochlea of the recipient, and generate, based on an output of the machine learning model that takes into account the geometric model data and the procedure data, procedure assistance data configured to assist a user in performing the lead insertion procedure.