Mobile Cataract Screening Using Adaptive Vision Test Modes
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Solution Overview
Problem
Current diagnostic technologies for cataracts are costly, time-consuming, and require external assistance, limiting accessibility for self-performable and accessible cataract diagnosis, particularly in determining the type and severity of cataracts.
Innovation Solution
An electronic device performs vision focus calibration, determines central and peripheral regions of interest on a display, conducts primary tests, and adapts visual display parameters to accurately assess the type and severity of cataracts through glare, color distortion, and night vision tests, providing recommendations for treatment.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If traditional diagnostic technologies (comprehensive eye exam, visual acuity test, slit-lamp exam, OCT, ultrasound) are used for cataract diagnosis, then diagnostic accuracy is improved, but cost and time consumption increase significantly
Solution Approach 1:
The patent enables self-service cataract diagnosis by allowing individuals to perform vision tests independently using a mobile device. The system includes self-guided vision acuity testing, glare testing, and color distortion testing that users can conduct without requiring professional ophthalmologists or optometrists, thereby reducing time consumption while maintaining diagnostic accuracy through standardized protocols and AI-based analysis.
Solution Approach 2:
The patent replaces complex mechanical diagnostic equipment (slit-lamp exam, OCT, ultrasound) with a mobile device-based optical measurement system. By using the mobile device's camera and processing capabilities to capture and analyze visual function parameters, the system achieves diagnostic accuracy without the time-consuming and costly mechanical examination procedures.
2Measurement precision
If traditional diagnostic technologies are used for cataract diagnosis, then measurement precision is improved, but device complexity and cost increase
Solution Approach 1:
The patent creates a simplified copy of the diagnostic process using mobile device software that replicates the functionality of complex ophthalmic equipment. Instead of requiring actual slit-lamp exams, OCT scanners, or ultrasound devices, the system uses software-based vision tests that capture essential visual function data through the mobile device camera, thereby reducing device complexity while maintaining measurement precision.
Solution Approach 2:
The patent extracts the essential diagnostic functionality from complex medical equipment and isolates the core measurement capabilities into a mobile device application. By taking out only the necessary visual function assessment components and eliminating the complex mechanical and operational elements of traditional equipment, the system achieves diagnostic accuracy with minimal device complexity.
3Measurement precision
If comprehensive eye exams and specialized diagnostic procedures are performed, then cataract detection accuracy is improved, but ease of operation decreases due to requirement for external assistance
Solution Approach 1:
The patent implements self-service operation by enabling users to independently conduct comprehensive cataract screening including vision acuity testing, glare testing, and color distortion testing without requiring external assistance from ophthalmologists or optometrists. The mobile device provides automated guidance, data collection, and preliminary analysis, making the diagnostic process as easy to operate as using a smartphone while maintaining high detection accuracy through standardized testing protocols.
4Reliability
If regular eye examinations are sought for early cataract detection, then health outcome is improved, but accessibility is reduced due to cost and time constraints
Solution Approach 1:
The patent achieves universality by making cataract screening accessible to anyone with a mobile device, regardless of socioeconomic status or geographic location. The system performs multiple diagnostic functions (vision acuity testing, glare testing, color distortion testing) within a single mobile application, eliminating the need for expensive specialized equipment and professional assistance, thereby dramatically improving accessibility while maintaining reliable health outcomes through accurate early detection.
Data Source
AI summary
There is provided a method for determining type of cataract by an electronic device. The method includes performing vision focus calibration for a user, determining central and peripheral regions of interest on a display of the electronic device based on fixated vision, performing a primary test for obtaining scores for the central and peripheral regions of interest, selecting at least one vision test mode based on the obtained score, and adapting at least one visual display parameter based on the obtained score and the selected at least one vision test mode. The method also includes determining a type of cataract from the selected at least one vision test mode, determining severity of the determined type of cataract, and providing the determined type of cataract and the determined severity with one or more recommendations to the user.


