Cutaneous Lesion Mapping With Measurement Markers and Boundary Analysis
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Solution Overview
Problem
Current methods for mapping cutaneous conditions, such as lesions and discolored patches, are subjective and prone to human error, leading to inconsistent and inaccurate diagnosis and treatment, and lack a centralized repository for past assessments, affecting research reliability.
Innovation Solution
A system and method using a processor to receive and analyze captured representations of the skin with measurement markers, define boundaries around conditions, determine characteristics, and render these on a display, with options for manual or automatic boundary placement and integration with a cloud database for centralized storage.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If visual assessment methods are used to map cutaneous conditions, then the process is simple and quick, but the accuracy and consistency of diagnosis deteriorates due to subjectivity and human error
Solution Approach 1:
The patent creates digital copies of the cutaneous surface through photography or imaging, replacing manual visual assessment with objective image capture. This allows precise measurement and tracking of cutaneous conditions without the subjectivity inherent in human visual assessment, while maintaining ease of use through automated image processing.
Solution Approach 2:
The patent replaces the mechanical human visual assessment system with an automated image processing system. Computers and algorithms analyze the captured images to objectively measure cutaneous condition characteristics, eliminating human error and subjectivity while maintaining operational simplicity.
2Device complexity
If manual recording methods are used for assessment notes, then the device complexity is low, but the detail and nuance of recorded information deteriorates
Solution Approach 1:
The patent creates digital records of assessment data, replacing manual writing with automated digital storage. This preserves all details and nuances of the assessment information without the limitations of manual note-taking, while the system remains simple to operate through automated data capture and storage.
3Ease of operation
If subjective estimation methods are used for percentage involvement, then the ease of operation is high, but the reliability of severity assessment deteriorates due to subjectivity and inconsistency
Solution Approach 1:
The patent replaces subjective human estimation with automated image analysis systems. Computers objectively calculate percentage involvement by analyzing captured images, eliminating the subjectivity and inconsistency inherent in manual estimation while maintaining ease of operation through automated processing.
Solution Approach 2:
The patent implements standardized criteria and algorithms that provide consistent feedback for severity assessment. The system uses predetermined classification criteria that ensure reliable and reproducible percentage involvement calculations across different assessors and time points.
4Adaptability or versatility
If multiple healthcare providers conduct assessments without a centralized repository, then the adaptability is high, but the consistency and accuracy of diagnosis deteriorates
Solution Approach 1:
The patent creates a centralized digital repository that serves multiple healthcare providers with a unified system. This platform allows different providers to access and review the same standardized assessments and images, ensuring consistent diagnosis and treatment tracking while maintaining the flexibility to involve multiple specialists.
Data Source
AI summary
A method for mapping one or more cutaneous conditions of a cutaneous surface may include: receiving, by at least one processor, a captured representation of a cutaneous surface having one or more cutaneous conditions and one or more measurement markers; defining, by the at least one processor, one or more boundaries around the one or more cutaneous conditions on the captured representation to form one or more enclosed areas; determining, by the at least one processor and based on a comparison between the one or more measurement markers and the one or more enclosed areas, characteristics of the one or more cutaneous conditions enclosed within the one or more enclosed areas; and rendering, by the at least one processor on at least one display, the captured representation and the determined characteristics of the one or more cutaneous conditions enclosed within the one or more enclosed areas.


