Cloud Eye Modeling for Predictive Cataract Treatment Planning
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Solution Overview
Problem
Current surgical interventions in ophthalmology, such as LASIK and cataract treatment, heavily rely on the surgeon's skill and experience, leading to suboptimal outcomes and a high rate of additional procedures due to the lack of accurate predictive models that account for the eye's mechanical properties and anatomical variations.
Innovation Solution
A cloud-based system utilizing physiomechanical models of the eye to predict the effects of surgical interventions, incorporating machine learning algorithms and patient-specific data to optimize treatment plans and minimize complications.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If surgical outcomes rely on surgeon skill and experience, then individual expertise can be applied, but accuracy and consistency of outcomes deteriorate due to lack of standardized predictive models
Solution Approach 1:
The system performs preliminary biomechanical modeling and simulation of surgical outcomes before the actual surgery. By creating virtual models of the patient's eye with specific mechanical properties and testing different surgical approaches in silico, the system predicts outcomes in advance, allowing surgeons to select the most effective approach before committing to actual surgical intervention.
Solution Approach 2:
The system creates virtual copies or digital twins of the patient's eye with accurate biomechanical properties. These virtual models replicate the mechanical behavior of the actual eye, allowing surgeons to test surgical approaches on the copy without risk to the patient. The virtual model includes layered structures with different mechanical properties that mirror the actual ocular anatomy.
2Reliability
If traditional surgical methods are used without predictive modeling, then procedural simplicity is maintained, but surgical outcomes and success rates worsen due to inability to predict individual patient responses
Solution Approach 1:
The system incorporates multiple biomechanical parameters including layered tissue properties, intraocular pressure, and material characteristics to create comprehensive predictive models. By considering changes in these parameters under different surgical scenarios, the system predicts how individual patient eyes will respond to various surgical approaches, enabling more reliable outcome prediction.
Solution Approach 2:
The virtual biomechanical model serves as an intermediary between the surgeon's intent and the actual surgical outcome. Rather than directly applying surgical techniques based on experience alone, the surgeon uses the virtual model to simulate and predict outcomes, allowing the model to mediate the decision-making process and improve reliability of results.
3Manufacturing precision
If standardized treatment protocols are applied without individualized modeling, then ease of operation is improved, but manufacturing precision of surgical outcomes worsens due to anatomical variations
Solution Approach 1:
The system divides the ocular structure into multiple layers with different local mechanical properties, such as the corneal epithelium, stroma, and endothelium, each with distinct biomechanical characteristics. By assigning different material properties to different local regions, the model accurately predicts how localized surgical interventions will affect the overall eye structure and outcome.
Solution Approach 2:
The system performs preliminary virtual surgery on the patient's unique anatomical model before actual surgery. By simulating the procedure in advance on the patient's specific anatomy, the system determines the precise surgical parameters needed to achieve the desired outcome, customizing the treatment plan to the individual patient's anatomical variations.
Data Source
AI summary
Systems, devices and methods are provided that provide assistance in selecting appropriate interventions for treatment of disease and injury to the eye. Systems of the inventive concept provide cloud-based processing and storage of clinical and patient-specific data, which can provide treatment recommendations and projected outcomes to a practitioner using a local device. Systems, devices, and methods can generate interactive physiomechanical models of the eye of a specified individual, which are derived measurements of mechanical properties of structures of the eye. The physiomechanical model is interactive, and can be used to emulate the effects of one or more medical interventions in the eye in order to implement an optimized treatment plan for the individual.