Next-Generation Vergence Recovery Convalescence Platform

Publication ID: 24-11857258_0010_PTD
Published: November 07, 2025
Category:Future Evolutions & Paradigm Shifts

Legal Citation

pr1or.art Inc., “Next-Generation Vergence Recovery Convalescence Platform,” Published Technical Disclosure No. 24-11857258_0010_PTD, Published November 07, 2025, available at https://archive.pr1or.art/24-11857258_0010_PTD
This technical disclosure describes improvements that would be readily apparent to a Person Having Ordinary Skill In The Art (PHOSITA) when considered in combination with the foundational architecture disclosed in U.S. Patent No. 11,857,258.

Summary of the Inventive Concept

A futuristic, AI-driven, and blockchain-enabled dynamic vergence testing platform for personalized, remote, and secure diagnosis and treatment of vergence dysfunction, revolutionizing the field of ophthalmology and traumatic brain injury care.

Background and Problem Solved

The original patent disclosed a noninvasive, clinical, objective testing of vergence dysfunction for diagnosis and recovery. However, it lacked the power of AI, machine learning, and blockchain technology to optimize and secure the testing process. The new inventive concept addresses these limitations by introducing a neural network-based prediction module, real-time adaptation of testing protocols, and secure data storage and sharing.

Detailed Description of the Inventive Concept

The next-generation platform consists of a wearable, augmented reality-based dynamic vergence testing module, a neural network-based prediction module, and a blockchain-enabled data storage and sharing system. The platform utilizes machine learning algorithms to optimize vergence recovery outcomes in subjects with mild traumatic brain injury (mTBI). It also integrates dynamic vergence testing with functional magnetic resonance imaging (fMRI) to provide a comprehensive understanding of neural correlates of vergence recovery. Additionally, the platform uses dynamic vergence testing to predict the likelihood of long-term cognitive impairment in subjects with mTBI.

Novelty and Inventive Step

The new claims introduce the use of AI, machine learning, and blockchain technology to optimize and secure the dynamic vergence testing process, which is a significant departure from the original patent. The neural network-based prediction module, real-time adaptation of testing protocols, and secure data storage and sharing system are novel and non-obvious features that revolutionize the field of ophthalmology and traumatic brain injury care.

Alternative Embodiments and Variations

Alternative embodiments of the inventive concept could include the use of other types of AI algorithms, such as deep learning or natural language processing, to optimize vergence recovery outcomes. Other variations could include the integration of dynamic vergence testing with other medical imaging modalities, such as electroencephalography (EEG) or magnetoencephalography (MEG).

Potential Commercial Applications and Market

The next-generation vergence recovery convalescence platform has significant commercial potential in the fields of ophthalmology, traumatic brain injury care, and personalized medicine. The platform could be marketed to hospitals, clinics, and research institutions, and could potentially disrupt the existing market for vergence testing and treatment.

CPC Classifications

SectionClassGroup
A A61 A61B3/113
A A61 A61B3/0041
G G02 G02B27/0093
G G02 G02B27/017

Field of Art

Medical diagnostic technologies, specifically ophthalmological assessment systems focusing on vergence eye movement testing, involving advanced display technologies, eye tracking, and neurological diagnostic platforms

Person of Ordinary Skill (PHOSITA) Profile

A biomedical engineer or clinical technology specialist with expertise in eye tracking systems, neurological diagnostic platforms, advanced display technologies, and machine learning applications in medical diagnostics

Obviousness Rationale

A PHOSITA would recognize that integrating machine learning, AI, and blockchain technologies into the existing vergence testing platform represents a predictable technological evolution. The source patent's foundational eye tracking and dynamic testing methodology provides a clear technical framework for implementing advanced computational techniques. The proposed variations represent logical extensions of existing technological capabilities in medical diagnostic systems.

Obvious Combinations & Variations

Source Patent Element
Head mounted goggle based stimulus generating eye tracking unit
PTD Variation
Augmented reality-based dynamic vergence testing platform with neural network-based prediction module
Obviousness Reasoning
Predictable integration of machine learning into existing eye tracking hardware, representing a known technique for enhancing diagnostic capabilities
Source Patent Element
Saccade vergence test presenting targets at different virtual depths
PTD Variation
Real-time adaptation of testing protocols using machine learning algorithms
Obviousness Reasoning
Obvious application of adaptive computational techniques to existing dynamic testing methodology, yielding foreseeable improvements in diagnostic precision
Source Patent Element
Objective physiologic responses for diagnosing vergence dysfunction
PTD Variation
Blockchain-enabled secure data storage and sharing system for diagnostic information
Obviousness Reasoning
Known approach to enhancing medical data management using contemporary security technologies, representing a standard design choice in medical informatics
Source Patent Element
3D head mounted display system with integrated eye tracking
PTD Variation
Integration with functional magnetic resonance imaging (fMRI) for comprehensive neural correlation analysis
Obviousness Reasoning
Predictable expansion of diagnostic capabilities by combining existing neuroimaging technologies with established eye tracking platforms
Source Patent Element
Vergence recovery convalescence testing method
PTD Variation
Predicting long-term cognitive impairment through advanced eye movement pattern analysis
Obviousness Reasoning
Logical extension of existing diagnostic methodologies using advanced computational pattern recognition techniques
35 U.S.C. § 103 Summary: Pursuant to 35 U.S.C. ยง 103, the variations disclosed herein would have been obvious to a person having ordinary skill in the art at the time of invention, as they represent predictable technological improvements to the foundational methodology established in US Patent 11857258, utilizing known techniques of machine learning, AI integration, and advanced data management in medical diagnostic platforms.

Original Patent Information

Patent NumberUS 11,857,258
TitleVergence recovery convalescence using dynamic vergence testing platform including 3D head mounted display system with integrated eye tracking technology
Assignee(s)NEUROLIGN USA, LLC