AI Rapid Test Validation System for Misinterpretation Errors

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Solution Overview

Problem

Rapid test devices often produce partial or inconclusive results, such as dots instead of lines or color-coded outputs, which can lead to incorrect readings and inaccurate diagnoses due to factors like lighting conditions and vision difficulties, especially when medical practitioners misinterpret the results.

Innovation Solution

An AI-powered system that captures images of rapid test devices, uses machine learning mechanisms to determine proper alignment and validity of results, and provides objective characterizations, including color validation processes to ensure accurate readings.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Measurement precision

If rapid test devices output results via lines, dots, or color-coded responses, then the test results can be displayed visually, but medical practitioners may misinterpret partial or inconclusive results (e.g., dots instead of lines) leading to inaccurate diagnoses

Engineering Contradiction:

Improvetest result interpretation accuracyVSAvoidresult validation difficulty

Core Design Contradiction:

Measurement precisionVSDifficulty of detecting and measuring

Solution Approach 1:

The patent replaces manual visual interpretation by medical practitioners with an automated image recognition system using machine learning models. The system captures images of rapid test devices and automatically analyzes the results, substituting human visual detection with computational algorithms that can objectively distinguish between valid lines, dots, and color-coded responses, thereby eliminating misinterpretation errors.

Inventive Principle:

Principle #28Mechanics substitution (Replace mechanical system)

Solution Approach 2:

The patent introduces an intermediary validation system between the rapid test device output and the final diagnosis. This intermediary layer includes image capture, processing, and validation mechanisms that act as a mediator to verify test results before they are interpreted by medical practitioners, ensuring that only validated results are used for diagnostic decisions.

Inventive Principle:

Principle #24Intermediary (Mediator)

2Loss of information

If rapid test devices use color-coded outputs to indicate different results, then more information can be conveyed, but medical practitioners may not correctly identify colors depending on lighting conditions, vision difficulties, or color prominence

Engineering Contradiction:

Improveinformation transmission completenessVSAvoidlighting and vision interference

Core Design Contradiction:

Loss of informationVSObject-affected harmful factors

Solution Approach 1:

The patent replaces human color perception with machine-based color analysis. The image recognition system captures the color-coded outputs and uses computational algorithms to analyze and interpret the colors objectively, eliminating the influence of lighting conditions and practitioner vision difficulties. The system can accurately distinguish between different color codes regardless of environmental factors.

Inventive Principle:

Principle #28Mechanics substitution (Replace mechanical system)

Solution Approach 2:

The patent creates a digital copy of the rapid test device results through image capture. Instead of relying on direct visual observation of the physical test device, the system creates and analyzes a digital replica, allowing for enhanced processing and validation of color-coded information without the limitations of human perception or environmental lighting conditions.

Inventive Principle:

Principle #26Copying

3Productivity

If medical practitioners manually interpret rapid test device results, then the process is simple and quick, but errors occur due to incorrect reading of dots vs. lines or color identification

Engineering Contradiction:

Improvetest interpretation speedVSAvoiddiagnosis accuracy

Core Design Contradiction:

ProductivityVSReliability

Solution Approach 1:

The patent replaces manual interpretation with automated image recognition while maintaining efficiency. The system quickly captures and processes images of rapid test devices using machine learning algorithms, providing automated validation results that are both fast and highly accurate, eliminating the trade-off between speed and reliability inherent in manual interpretation.

Inventive Principle:

Principle #28Mechanics substitution (Replace mechanical system)

Solution Approach 2:

The patent enables the rapid test device system to validate its own results through self-analysis. The image recognition system automatically detects, validates, and interprets test results without requiring external manual verification, allowing the system to perform quality control and accuracy verification independently while maintaining rapid processing speeds.

Inventive Principle:

Principle #25Self-service

Data Source

PatentUS12014490B2Systems and methods of validation of rapid test device results

Publication Date: 2024.06.18 INBIOS INT

AI summary

Embodiments are directed to use of a rapid-test-validation computing device to determine if a result of a rapid test device is valid and identify the result. The rapid-test-validation computing device captures images of the rapid test device and employs a first artificial intelligence mechanism to determine if the rapid test device is properly aligned in the images. The rapid-test-validation computing device then employs a second artificial intelligence mechanism to determine if a result of the rapid test device is valid or invalid. If the result is valid, the rapid-test-validation computing device employs a third artificial intelligence mechanism to determine and present an objective output of the rapid test device result to a user; otherwise, the rapid-test-validation computing device presents a notification to the user that the rapid test device result is invalid.