Specialized Vascular Disease Diagnosis Systems and Methods

Publication ID: 24-11857292_0009_PTD
Published: November 07, 2025
Category:Specialized Variations & Niche Solutions

Legal Citation

pr1or.art Inc., “Specialized Vascular Disease Diagnosis Systems and Methods,” Published Technical Disclosure No. 24-11857292_0009_PTD, Published November 07, 2025, available at https://archive.pr1or.art/24-11857292_0009_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. 11,857,292.

Summary of the Inventive Concept

This inventive concept presents novel adaptations of vascular disease diagnosis systems and methods for specific, high-stakes environments, including high-security facilities, disaster relief situations, extreme weather conditions, remote areas, and emergency response situations.

Background and Problem Solved

The original patent disclosed a method and apparatus for diagnosing vascular disease. However, the existing solution may not be suitable for unique operational environments, where the diagnosis process requires specialized adaptations to ensure accuracy, security, and reliability. This inventive concept addresses these limitations by providing tailored solutions for specific niches.

Detailed Description of the Inventive Concept

The new inventive concept comprises systems and methods for diagnosing vascular disease in high-security facilities, disaster relief situations, extreme weather conditions, remote areas, and emergency response situations. These adaptations involve the use of secured computing devices, portable diagnosing apparatus, and synthetic models tailored for each specific environment. For instance, in high-security facilities, biometric authentication and encryption are used to secure the computing device, while in disaster relief situations, a portable diagnosing apparatus is employed to generate first geometric feature parameter learning data based on a predetermined synthetic model.

Novelty and Inventive Step

The novelty of this inventive concept lies in the adaptation of vascular disease diagnosis systems and methods for specific, high-stakes environments. The inventive step is the recognition of the need for specialized solutions in these niches and the development of tailored systems and methods to address these needs.

Alternative Embodiments and Variations

Alternative embodiments of this inventive concept may include the use of different types of biometric authentication, various encryption methods, or alternative synthetic models for different environments. Additionally, the systems and methods could be modified for use in other specialized niches, such as military operations or search and rescue missions.

Potential Commercial Applications and Market

This inventive concept has significant commercial potential in the healthcare and medical devices industries, particularly in areas where specialized vascular disease diagnosis systems and methods are required. The target market includes high-security facilities, disaster relief organizations, and emergency response teams, among others.

Field of Art

Medical imaging and diagnostic systems, specifically vascular disease diagnosis technologies involving machine learning, synthetic modeling, and medical image analysis

Person of Ordinary Skill (PHOSITA) Profile

A biomedical engineer or medical imaging specialist with expertise in machine learning, computational modeling, medical image processing, and diagnostic algorithm development, holding advanced degrees in bioengineering or medical informatics

Obviousness Rationale

A PHOSITA would recognize that the source patent's fundamental vascular disease diagnostic method using synthetic models and fractional flow reserve data can be readily adapted to specialized environments by applying standard engineering design principles of contextual modification, portable computing, and environmental resilience. The core diagnostic methodology remains consistent, with variations primarily addressing deployment context rather than fundamental diagnostic approach.

Obvious Combinations & Variations

Source Patent Element
Generating geometric feature parameter learning data based on synthetic model
PTD Variation
Creating environment-specific synthetic models for high-security, disaster relief, extreme weather, and remote area contexts
Obviousness Reasoning
Modifying synthetic models for specific environments represents a predictable design variation that a PHOSITA would recognize as a routine engineering adaptation involving parameter tuning and contextual optimization
Source Patent Element
Calculating fractional flow reserve data and flow feature information
PTD Variation
Implementing portable and handheld diagnostic apparatuses for emergency and remote scenarios
Obviousness Reasoning
Miniaturization and portability of medical diagnostic equipment is a known technique, with a PHOSITA understanding how to translate computational methods to smaller form factors without fundamentally altering diagnostic algorithms
Source Patent Element
Biometric authentication and learning model generation
PTD Variation
Adding security layers like encryption and specialized authentication for high-security facility deployments
Obviousness Reasoning
Integrating additional security mechanisms is a standard engineering practice, with a PHOSITA recognizing multiple known techniques for securing computational medical diagnostic systems
Source Patent Element
Flow feature information analysis
PTD Variation
Expanding diagnostic capabilities to operate in extreme temperature ranges and limited connectivity environments
Obviousness Reasoning
Adapting computational systems to function across varied environmental conditions represents a predictable engineering challenge with well-established solution strategies
Source Patent Element
Vascular disease diagnostic method using machine learning models
PTD Variation
Creating specialized diagnostic workflows for disaster relief, emergency response, and remote area scenarios
Obviousness Reasoning
Tailoring diagnostic workflows to specific operational contexts is a routine design optimization that a PHOSITA would approach systematically using known computational and medical imaging techniques
35 U.S.C. § 103 Summary: Based on US Patent 11857292's fundamental vascular disease diagnostic methodology, the present publication demonstrates that a person having ordinary skill in the art would find the disclosed specialized diagnostic systems and methods obvious through predictable variations in synthetic modeling, computational deployment, and environmental adaptation, thereby rendering obvious any patent claims covering similar technical approaches to context-specific medical diagnostic technologies.

Original Patent Information

Patent NumberUS 11,857,292
TitleMethod for diagnosing vascular disease and apparatus therefor
Assignee(s)E8IGHT Co., Ltd.