Breast Implant Selector System Algorithm
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Solution Overview
Problem
The current methods for selecting breast implants are complex and often lead to disappointing aesthetic results due to the failure to accurately consider a patient's unique physical characteristics and goals, resulting in a high rate of re-operation.
Innovation Solution
A breast implant selector system that includes input criteria for breast width, tissue type, and implant size, using a selection algorithm to suggest appropriate implants, thereby simplifying and improving the accuracy of the selection process.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If a wide range of breast implants are developed and marketed to accommodate diverse patient goals and physical characteristics, then the flexibility and adaptability in implant selection is improved, but the complexity of the decision-making process increases for both patients and doctors
Solution Approach 1:
The patent introduces a decision-making framework that acts as an intermediary between the wide range of available implants and the patient-doctor selection process. This framework uses patient-specific parameters (breast width, tissue type, goals) as inputs to systematically narrow down implant options, making the complex selection process more manageable and structured.
Solution Approach 2:
The patent transforms the selection process by changing from a qualitative, subjective evaluation to a quantitative, parameter-based approach. By using measurable parameters such as breast width in centimeters, tissue type classifications, and specific implant dimensions, the system creates a standardized method for comparing implants across the wide range of available options.
2Reliability
If breast implant selection relies on traditional methods without systematic algorithms, then the process remains simple and flexible, but the accuracy of implant selection decreases leading to higher re-operation rates
Solution Approach 1:
The patent applies preliminary action by establishing a systematic selection framework before the actual implant selection occurs. The framework pre-establishes the relationship between patient parameters (breast width, tissue type) and implant characteristics, allowing for accurate predictions of suitable implants to be made in advance of the surgical decision-making process.
Solution Approach 2:
The patent incorporates feedback mechanisms where the selection algorithm uses patient-specific inputs (breast width measurements, tissue type assessments) to generate implant recommendations, which can then be reviewed and adjusted based on patient goals and surgeon judgment, creating an iterative refinement process that improves selection accuracy.
3Manufacturing precision
If the selection process does not systematically consider patient physical characteristics, then the process remains quick and straightforward, but the aesthetic results become disappointing and re-operation becomes necessary
Solution Approach 1:
The patent replaces the mechanical, hands-on trial-and-error approach of traditional implant selection with an information-processing system. Instead of relying solely on physical measurement and subjective judgment, the system uses computational algorithms that process patient parameters to generate precise implant recommendations, improving selection precision while maintaining efficiency.
Data Source
AI summary
A breast implant selector system including a breast width selector for selecting breast width input information, a breast tissue type selector for selecting breast tissue type input information in response to breast width input information selected with the breast width selector, and an implant size selector for selecting implant size input information in response to the breast tissue type input information selected with the breast tissue type selector. A result indicator provides a result characterizing at least one suggested breast implant as a function of the input breast width, breast tissue type, and implant size input information.