Intelligent Vascular Disease Diagnosis and Management System

Publication ID: 24-11857292_0005_PTD
Published: November 07, 2025
Category:Future Evolutions & Paradigm Shifts

Legal Citation

pr1or.art Inc., “Intelligent Vascular Disease Diagnosis and Management System,” Published Technical Disclosure No. 24-11857292_0005_PTD, Published November 07, 2025, available at https://archive.pr1or.art/24-11857292_0005_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

A next-generation vascular disease diagnosis and management system that leverages AI, multimodal data fusion, and remote monitoring to provide personalized diagnosis, treatment, and prevention strategies.

Background and Problem Solved

The original patent's method for diagnosing vascular disease using a vascular disease diagnosing apparatus has limitations in terms of accuracy, accessibility, and personalization. The new inventive concept addresses these limitations by introducing a more comprehensive and integrated approach to vascular disease diagnosis and management.

Detailed Description of the Inventive Concept

The new inventive concept comprises a wearable device for monitoring cardiovascular signals, a cloud-based server for analyzing signals using AI, and a mobile application for providing personalized diagnosis and treatment recommendations. Additionally, the system incorporates genomic data analysis, multimodal data fusion, and remote monitoring to provide a comprehensive diagnosis and treatment plan. The system's components work together to provide real-time diagnosis, personalized risk assessments, and prevention strategies.

Novelty and Inventive Step

The new claims introduce a paradigm shift in vascular disease diagnosis and management by leveraging AI, multimodal data fusion, and remote monitoring. The use of wearable devices, cloud-based servers, and mobile applications for personalized diagnosis and treatment recommendations is new and non-obvious compared to the original patent.

Alternative Embodiments and Variations

Alternative embodiments of the inventive concept could include using different types of wearable devices, such as smartwatches or fitness trackers, or incorporating additional data sources, such as electronic health records or medical imaging data. Variations of the system could also include different AI algorithms or machine learning models for analyzing genomic data and cardiovascular signals.

Potential Commercial Applications and Market

The inventive concept has significant commercial potential in the healthcare industry, particularly in the areas of cardiovascular disease diagnosis and management. The system's ability to provide personalized diagnosis and treatment recommendations, as well as remote monitoring capabilities, could revolutionize the way vascular disease is diagnosed and managed. The target market includes healthcare providers, medical device manufacturers, and patients at risk of vascular disease.

Field of Art

Medical diagnostics, cardiovascular imaging, and artificial intelligence-assisted medical analysis, with expertise in computational modeling of vascular disease detection and risk assessment

Person of Ordinary Skill (PHOSITA) Profile

A biomedical engineer or medical data scientist with advanced training in machine learning, signal processing, medical imaging, and computational diagnostic techniques, possessing knowledge of medical device integration and AI-driven diagnostic methodologies

Obviousness Rationale

A person of ordinary skill would recognize that the source patent's fundamental approach to vascular disease diagnosis using computational modeling naturally extends to more comprehensive AI-driven systems integrating multiple data sources. The PTD represents a predictable technological progression by applying known machine learning techniques to expand diagnostic capabilities through multimodal data fusion and remote monitoring technologies. The core diagnostic principles remain consistent, with the primary innovation being the integration of additional data collection and analysis methods.

Obvious Combinations & Variations

Source Patent Element
Computational method for generating geometric feature parameter learning data for vascular disease diagnosis
PTD Variation
Expanding feature parameter learning to include genomic data and wearable device cardiovascular signals
Obviousness Reasoning
Predictable extension of existing computational diagnostic techniques by incorporating additional data sources using standard machine learning approaches
Source Patent Element
Fractional flow reserve data calculation for vascular disease analysis
PTD Variation
Cloud-based AI platform for real-time analysis of cardiovascular signals and risk assessment
Obviousness Reasoning
Known technique of transitioning computational medical diagnostic methods to cloud-based platforms with enhanced machine learning capabilities
Source Patent Element
Vascular disease diagnostic method using synthetic models and learning algorithms
PTD Variation
Multimodal data fusion combining medical imaging, genomic data, and wearable device metrics
Obviousness Reasoning
Obvious combination of existing diagnostic data sources using standard data integration and machine learning techniques
Source Patent Element
Method for analyzing stenosis state and determining surgical intervention
PTD Variation
Mobile application providing personalized treatment recommendations and prevention strategies
Obviousness Reasoning
Predictable digital transformation of medical diagnostic decision support using mobile computing technologies
Source Patent Element
Computational method for analyzing flow feature information
PTD Variation
Remote monitoring system with networked sensors tracking comprehensive cardiovascular health metrics
Obviousness Reasoning
Logical progression of diagnostic technologies using IoT and cloud computing principles applied to medical monitoring
35 U.S.C. § 103 Summary: Based on the teachings of US Patent 11857292, a person having ordinary skill in the art would find the claimed variations in the published technical disclosure to be obvious extensions of existing vascular disease diagnostic methodologies. The proposed system represents a predictable combination of known computational diagnostic techniques with emerging machine learning, mobile computing, and multimodal data integration technologies, thereby rendering potential patent claims obvious and unpatentable under 35 U.S.C. Section 103.

Original Patent Information

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