Ocular Implant Power Calculation Using Dual Adjustment Values

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Solution Overview

Problem

Current methods for characterizing ocular implants to predict refractive correction post-surgery are unsatisfactory as they fail to provide reliable values, leading to significant prediction errors due to the use of single adjustment values that do not minimize dispersion of errors.

Innovation Solution

A process and device that utilize two adjustment values to minimize dispersion and bias of prediction errors, where the first value adjusts to minimize prediction error dispersion and the second value cancels bias, ensuring accurate and precise predictions by determining the optical performance and power of ocular implants based on biometric measurements and reference systems.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Device complexity

If a single adjustment value is used to optimize prediction of implant power, then the prediction process is simple, but the prediction reliability and precision are insufficient

Engineering Contradiction:
Improveprediction process complexityVSAvoidprediction reliability
Core Design Contradiction:
Device complexityVSReliability

Solution Approach 1:

The patent divides the adjustment process into two separate adjustment values: a first adjustment value to minimize dispersion of errors and a second adjustment value to cancel bias. This segmentation allows each adjustment value to focus on a specific aspect of error reduction, thereby improving overall prediction reliability without excessive complexity.

Inventive Principle:
Principle #1Segmentation

Solution Approach 2:

The patent changes the approach from using a single adjustment parameter to using two distinct adjustment parameters (first adjustment value and second adjustment value). Each parameter addresses a different aspect of prediction error, enabling more precise and reliable predictions while maintaining computational feasibility.

Inventive Principle:
Principle #35Parameter changes

2Measurement precision

If adjustment constants are used to minimize prediction error, then the average quadratic error or average absolute error is reduced, but the dispersion of errors remains high

Engineering Contradiction:
Improveaverage prediction accuracyVSAvoiderror dispersion
Core Design Contradiction:
Measurement precisionVSManufacturing precision

Solution Approach 1:

The patent segments the error adjustment into two independent components: minimizing dispersion through the first adjustment value and canceling bias through the second adjustment value. This segmentation enables simultaneous optimization of both error dispersion and average accuracy, resolving the contradiction between these two precision aspects.

Inventive Principle:
Principle #1Segmentation

Solution Approach 2:

The patent introduces two separate adjustment parameters instead of one, allowing independent optimization of dispersion and bias. The first adjustment value addresses dispersion while the second addresses bias, enabling high precision in both dimensions without trade-off.

Inventive Principle:
Principle #35Parameter changes

3Ease of operation

If predicted implant position is adjusted using single adjustment constant, then refractive correction prediction is simplified, but prediction precision and reliability are compromised

Engineering Contradiction:
Improveprediction calculation simplicityVSAvoidrefractive correction prediction precision
Core Design Contradiction:
Ease of operationVSMeasurement precision

Solution Approach 1:

The patent segments the adjustment constants into two distinct values that are applied in sequence: first to minimize dispersion and second to cancel bias. This segmented approach maintains computational simplicity while significantly improving prediction precision for refractive correction.

Inventive Principle:
Principle #1Segmentation

Solution Approach 2:

The patent changes from a single adjustment parameter to two parameters, enabling more precise predictions. The first parameter optimizes dispersion and the second optimizes bias, together achieving high precision without complicating the overall prediction process.

Inventive Principle:
Principle #35Parameter changes

Data Source

PatentUS20250017722A1Method for optimising the formulae for calculating implant power
Publication Date: 2025.01.16 FONDATION A DE ROTHSCHILD
  • US20250017722A1 patent drawing
  • US20250017722A1 patent drawing
  • US20250017722A1 patent drawing

AI summary

This process characterises a target system comprising a target implant and a target eye, said target system being characterised by an optical performance (CP) and a power (P) of said target implant. It comprises the following steps:obtaining (E10) an adjustment value of optical property (C1) intended to adjust at least one adjustable optical property (PA) of said target system (SC),obtaining (E20) an adjustment value of optical performance (C2) of said target system;determining (E30, E30′) a correspondence between said power (P) and the optical performance (CP) from at least one optical property (PO) of the target system including at least one adjustable property (PA), of said adjustment value of optical property (C1) and of said performance adjustment value (C2), the determining (E30) comprising the steps of:(i) adjustment (E30A) of a value of said adjustable property (PA) with said adjustment value of optical property (C1),(ii) adjustment (E30B) of a value of said optical performance (CP) or of said power (P) with said performance adjustment value (C2).