Predictive Vision Biometrics With Multispectral Treatment Simulation
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Solution Overview
Problem
Current clinical treatments for geographic atrophy (GA) primarily focus on slowing the progression of the condition rather than reversing it, leading to perceived ineffectiveness and low patient compliance due to high costs, inconvenience, and discomfort.
Innovation Solution
An ophthalmic diagnostics system that includes a multispectral imaging device and a processor to generate and analyze ophthalmic multispectral data, simulating multiple treatment scenarios for GA, including prescribed and deviated medication regimens, to encourage patient compliance through comparative visual outcomes.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If current clinical treatments for geographic atrophy are used to slow progression, then the condition progression is slowed, but patient compliance is low due to high costs, inconvenience, and discomfort
Solution Approach 1:
The system implements feedback by showing patients simulated visual outcomes of different treatment scenarios, allowing them to see the potential benefits of adherence versus non-adherence. This visual feedback loop motivates patients to comply with treatment regimens by making the abstract concept of disease progression tangible and personally relevant.
Solution Approach 2:
The system performs preliminary action by simulating future treatment outcomes before the patient actually undergoes the treatment. By showing patients what their vision might look like with versus without treatment adherence, the system allows them to make informed decisions about their treatment compliance in advance, rather than reacting to deterioration after the fact.
2Ease of operation
If multiple treatment scenarios are simulated to encourage compliance, then patient understanding and motivation improve, but system complexity increases
Solution Approach 1:
The system creates simplified visual copies or simulations of treatment outcomes rather than requiring complex physical interventions. By using computational models to generate representative visual scenarios, the system captures the essential information needed for patient decision-making without replicating the full complexity of actual treatment delivery mechanisms.
Data Source
AI summary
In certain embodiments, a system for predictive vision biometrics includes an ophthalmic multispectral imaging device, a memory including executable instructions, and a processor in communication with the memory and the ophthalmic multispectral imaging device. The ophthalmic multispectral imaging device is configured to generate ophthalmic multispectral data for a patient eye. The processor is configured to execute the instructions to determine a state of an eye condition in the patient eye based on the ophthalmic multispectral data, and to simulate one or more treatment scenarios for the patient eye based on the state of the eye condition and a model for the one or treatment scenarios.