Synergistic Vascular Disease Diagnosis and Treatment System

Publication ID: 24-11857292_0003_PTD

Published: November 07, 2025

Category:Synergistic Combinations

Legal Citation

pr1or.art Inc., “Synergistic Vascular Disease Diagnosis and Treatment System,” Published Technical Disclosure No. 24-11857292_0003_PTD, Published November 07, 2025, available at https://archive.pr1or.art/24-11857292_0003_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 comprehensive system integrating AI, IoT, blockchain, and 3D printing technologies to diagnose and treat vascular diseases more accurately and efficiently.

Background and Problem Solved

The original patent disclosed a method for diagnosing vascular disease using geometric feature parameter learning data and fractional flow reserve data. However, the limitations of this approach lie in its inability to incorporate diverse data sources, ensure data security, and provide personalized treatment recommendations. The new inventive concept addresses these limitations by combining AI-powered analysis, IoT-based wearable devices, blockchain-based secure data storage, and 3D printing technology to create a more powerful and effective system for vascular disease diagnosis and treatment.

Detailed Description of the Inventive Concept

The synergistic system comprises multiple components: a blockchain-based decentralized data storage unit for storing medical records and diagnosis results; an AI-powered analysis module for analyzing the stored data and generating a diagnosis report; an IoT-based wearable device for detecting early signs of vascular disease; a 3D printing module for creating personalized models of vascular structures for further analysis; and a hybrid AI-IoT system for real-time monitoring of cardiovascular health. The system integrates these components to provide a comprehensive diagnosis and personalized treatment recommendations, ensuring more accurate and efficient diagnosis and treatment of vascular diseases.

Novelty and Inventive Step

The new inventive concept's novelty lies in its synergistic combination of distinct technologies, including AI, IoT, blockchain, and 3D printing, to create a more powerful and effective system for vascular disease diagnosis and treatment. The inventive step is the integration of these technologies to provide a comprehensive and personalized approach to vascular disease diagnosis and treatment, which is not obvious from the original patent.

Alternative Embodiments and Variations

Alternative embodiments of the inventive concept could include using different AI algorithms, incorporating additional data sources such as electronic health records, or utilizing alternative 3D printing materials. Variations could include adapting the system for diagnosing other diseases or using the system in conjunction with other medical devices.

Potential Commercial Applications and Market

The synergistic vascular disease diagnosis and treatment system has significant commercial potential in the healthcare industry, particularly in the areas of cardiovascular disease diagnosis and treatment. The system's ability to provide accurate and personalized diagnosis and treatment recommendations makes it an attractive solution for healthcare providers and patients alike.

Section 103 Obviousness Analysis (PHOSITA)

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Field of Art

Medical diagnostics, specifically vascular disease analysis using computational and machine learning techniques, requiring expertise in medical imaging, data processing, and AI-driven diagnostic algorithms

Person of Ordinary Skill (PHOSITA) Profile

A biomedical engineer or computer scientist with advanced degrees, proficient in machine learning, medical data analysis, and computational diagnostic techniques, familiar with emerging technologies in healthcare informatics

Obviousness Rationale

A PHOSITA would recognize that the PTD's integration of blockchain, IoT, and AI technologies represents a predictable extension of existing vascular disease diagnostic methods. The core diagnostic principles from the source patent are simply augmented with contemporary data management and analysis technologies. These technological additions would be considered routine optimization and combination of known techniques in medical diagnostic systems.

Obvious Combinations & Variations

Source Patent Element

Vascular disease diagnostic method using machine learning models for analyzing geometric features and flow parameters

PTD Variation

Extending diagnostic method with blockchain-based data storage and IoT-enabled continuous monitoring

Obviousness Reasoning

Integrating decentralized data storage and continuous monitoring represents a predictable technological progression for improving diagnostic accuracy and data management

Source Patent Element

Computational analysis of vascular stenosis and surgical intervention determination

PTD Variation

Adding 3D printing module for personalized vascular structure visualization and analysis

Obviousness Reasoning

Creating physical models from diagnostic data is a known technique for enhancing medical understanding, representing an obvious design choice for improving diagnostic comprehension

Source Patent Element

Machine learning models for analyzing fractional flow reserve and geometric features

PTD Variation

Implementing hybrid AI-IoT system for real-time cardiovascular health monitoring

Obviousness Reasoning

Extending machine learning diagnostic techniques to continuous monitoring represents a logical and predictable technological evolution in medical diagnostics

Source Patent Element

Computational method for analyzing vascular disease diagnostic parameters

PTD Variation

Incorporating AI-powered recommendation engine for personalized treatment suggestions

Obviousness Reasoning

Using machine learning to generate treatment recommendations is a straightforward application of existing diagnostic algorithms to treatment planning

35 U.S.C. § 103 Summary: Based on the teachings of US Patent 11857292 and the disclosed technological variations, a person of ordinary skill in the art would find the proposed diagnostic system extensions obvious and predictable. The incremental technological additions represent routine optimization and combination of known techniques in medical diagnostic systems, thereby rendering potential patent claims obvious under 35 U.S.C. § 103.

Original Patent Information

Patent Number	US 11,857,292
Title	Method for diagnosing vascular disease and apparatus therefor
Assignee(s)	E8IGHT Co., Ltd.