Wearable Eye Imaging Headset for Remote Ophthalmologic Assessment
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Solution Overview
Problem
Current eye examination systems are cumbersome, costly, and often require trained operators, limiting their accessibility for comprehensive remote assessments, especially for capturing images of both anterior and posterior segments of the eye.
Innovation Solution
A portable, wearable headset that combines multiple imaging functions, allowing self-administered digital image capture of the entire eye without a trained operator, enabling remote ophthalmologic examinations and automated analysis using AI techniques.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If traditional in-clinic eye examination systems are used, then comprehensive eye imaging and diagnosis can be performed, but the systems are cumbersome, costly, and require trained operators
Solution Approach 1:
The patent divides the eye examination system into separate functional modules: a wearable headset for image capture, a remote computing system for processing, and AI algorithms for analysis. This segmentation allows the complex examination function to be distributed across simple, accessible components rather than requiring a single complex in-clinic system.
Solution Approach 2:
The patent introduces AI-based image analysis algorithms as an intermediary between the simple wearable camera and the diagnostic conclusion. The AI system processes images captured by the simple headset, eliminating the need for trained operators to manually analyze complex eye images while maintaining comprehensive diagnostic capability.
2Adaptability or versatility
If comprehensive eye imaging of both anterior and posterior segments is performed, then complete eye health assessment is achieved, but the systems are costly and require trained operators
Solution Approach 1:
The wearable headset is designed as a universal device that can capture images of both the anterior segment (cornea, iris, lens) and posterior segment (retina, optic nerve) of the eye using the same hardware platform. This multi-functionality eliminates the need for separate specialized equipment for different eye regions, reducing overall system complexity and cost while maintaining comprehensive examination capability.
3Ease of operation
If remote self-administered eye examination is enabled, then accessibility is improved, but image quality and examination accuracy may be compromised
Solution Approach 1:
The patent incorporates real-time feedback mechanisms where the system provides guidance to users during image capture, and the AI analysis provides immediate feedback on image quality and potential findings. This feedback loop ensures that users can achieve diagnostic-quality images remotely by following simple instructions, maintaining both accessibility and precision.
Solution Approach 2:
The patent replaces the mechanical skill-based operation required by traditional ophthalmoscopy with automated AI image analysis. Instead of requiring a trained operator to manually focus and interpret images, the system uses computational algorithms to process and diagnose from images captured by simple wearable cameras, maintaining accuracy while enabling remote self-administration.
Data Source
AI summary
The disclosure relates generally to the fields of optometry and ophthalmology, and, more particularly, to a system for providing a remote ophthalmologic examination and assessment of a patient's eyes.