Facial Image Analysis System for Automated Treatment Planning
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Solution Overview
Problem
Current methods for treating conditions affecting the appearance of the facial region, such as wrinkles or jaundice, require frequent face-to-face examinations, which are cumbersome and often result in suboptimal treatment outcomes due to insufficient monitoring and planning.
Innovation Solution
A method and system that utilize image data from the facial region to generate treatment recommendations by comparing the image data with reference information and applying machine learning algorithms to classify the severity of the condition and provide personalized treatment plans, including dosage, location, and timing recommendations.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If frequent face-to-face examinations are conducted to optimize treatment monitoring, then treatment precision and reliability are improved, but patient convenience and time efficiency deteriorate
Solution Approach 1:
The patent uses digital images as copies of the patient's facial region to replace physical examinations. Image processing algorithms analyze these copies to assess treatment conditions, eliminating the need for patients to physically visit examination locations while maintaining monitoring precision.
Solution Approach 2:
The patent replaces the mechanical system of face-to-face physical examinations with an automated image processing system. Computer algorithms automatically analyze facial images to detect treatment conditions, substituting human physical examination with automated digital analysis.
2Measurement precision
If multiple examination locations and procedures are required for comprehensive treatment assessment, then measurement completeness is improved, but device complexity and operational difficulty increase
Solution Approach 1:
The patent creates a universal image processing system that can assess multiple treatment conditions using the same basic technology platform. The system analyzes various facial features and conditions through unified image processing algorithms, eliminating the need for separate specialized examination devices for each condition.
Solution Approach 2:
The patent merges multiple examination functions into a single image processing workflow. By combining various assessment criteria and analysis methods into one integrated system, the patent reduces the number of separate examination locations and procedures while maintaining comprehensive assessment capability.
3Measurement precision
If treatment planning involves complex integration of multiple patient factors, then treatment precision is improved, but ease of operation deteriorates
Solution Approach 1:
The patent enables the system to automatically integrate and analyze multiple patient factors without requiring manual coordination. The image processing algorithms self-service by automatically extracting relevant information from images and combining it with treatment protocols, eliminating the need for complex manual planning processes.
Solution Approach 2:
The patent performs preliminary processing of patient data and image analysis before treatment planning is needed. By pre-processing images and identifying key features in advance, the system prepares treatment recommendations that can be directly applied, reducing the complexity of the actual treatment planning operation.
Data Source
AI summary
A method for generating treatment recommendations based on images of a facial region of a human subject comprises the steps of acquiring at least one image of the facial region and generating image data representing the at least one image; processing the image data and additional information, including at least an indication of a condition affecting an appearance of the facial region and a treatment type to treat the condition, to obtain a treatment recommendation and outputting the obtained treatment recommendation. The processing step includes a comparison substep to compare information derived from the image data with reference information to obtain a reference measure. The processing step further includes a classifying substep to obtain the treatment recommendation (63.1 . . . 8, 64.1 . . . 8) based on the reference measure.