Vascular Closure System with Integrated AI, IoT, and Blockchain Technologies

Publication ID: 24-11857172_0003_PTD
Published: November 07, 2025
Category:Synergistic Combinations

Legal Citation

pr1or.art Inc., “Vascular Closure System with Integrated AI, IoT, and Blockchain Technologies,” Published Technical Disclosure No. 24-11857172_0003_PTD, Published November 07, 2025, available at https://archive.pr1or.art/24-11857172_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. 11,857,172.

Summary of the Inventive Concept

A novel vascular closure system that combines a self-expanding tubular vascular closure element with advanced technologies such as machine learning, IoT, blockchain, and nanomaterials to enhance closure success rates, improve device performance, and enable secure data tracking and analysis.

Background and Problem Solved

The original vascular closure device patent, while effective, has limitations in terms of predicting closure success, tracking device performance, and ensuring secure data management. The new inventive concept addresses these limitations by integrating AI, IoT, blockchain, and nanomaterials to create a more powerful and connected system.

Detailed Description of the Inventive Concept

The system comprises a vascular closure device with a self-expanding tubular vascular closure element and a retaining element. Additionally, it features a machine learning-based predictive analytics module to forecast closure success rates, an IoT-enabled sensor to monitor device performance in real-time, and a blockchain-based decentralized ledger to securely track and verify the deployment process. The system also includes a nanomaterial-based coating for enhanced biocompatibility. Furthermore, an AI-powered analytics engine processes real-time data from the device, and a user interface displays performance metrics. The system can also utilize generative adversarial networks to optimize device design based on simulated performance metrics.

Novelty and Inventive Step

The new inventive concept's integration of AI, IoT, blockchain, and nanomaterials with the original vascular closure device represents a significant departure from the prior art. The predictive analytics module, IoT-enabled sensor, blockchain-based decentralized ledger, nanomaterial-based coating, AI-powered analytics engine, and user interface collectively provide a novel and non-obvious solution to the limitations of the original patent.

Alternative Embodiments and Variations

Alternative embodiments of the inventive concept could include using different types of machine learning algorithms, varying the IoT sensor's configuration, or incorporating other blockchain-based solutions. Additionally, the system could be adapted for use in other medical applications, such as wound closure or tissue repair.

Potential Commercial Applications and Market

The inventive concept has significant commercial potential in the medical device industry, particularly in the areas of vascular surgery, cardiology, and interventional radiology. The system's ability to enhance closure success rates, improve device performance, and enable secure data tracking and analysis makes it an attractive solution for hospitals, clinics, and medical research institutions.

CPC Classifications

SectionClassGroup
A A61 A61B17/0057
A A61 A61B2017/00004
A A61 A61B2017/00623

Field of Art

Medical device engineering, specifically vascular closure systems, involving interventional cardiology and medical device design with expertise in biomaterials, mechanical engineering, and advanced medical technologies

Person of Ordinary Skill (PHOSITA) Profile

A biomedical engineer or medical device designer with advanced degree, 3-5 years experience in interventional medical device development, familiar with emerging technologies in medical instrumentation, sensor integration, and data analytics

Obviousness Rationale

A PHOSITA would recognize that integrating advanced digital technologies like machine learning, IoT, and blockchain with existing medical device architectures represents a predictable technological evolution. The core vascular closure mechanism remains fundamentally consistent with the source patent, while the proposed technological enhancements represent incremental improvements using well-established engineering techniques. The proposed variations leverage standard design methodologies for enhancing medical device performance and data management.

Obvious Combinations & Variations

Source Patent Element
Self-expanding tubular vascular closure element with retaining mechanism
PTD Variation
Adding nanomaterial-based biocompatibility coating to closure element
Obviousness Reasoning
Surface modification of medical devices using nanomaterials is a known technique for improving biocompatibility, representing a predictable design optimization within medical device engineering
Source Patent Element
Vascular closure device with mechanical deployment mechanism
PTD Variation
Incorporating IoT-enabled sensor for real-time performance monitoring
Obviousness Reasoning
Integrating sensor technologies for medical device performance tracking is a standard approach in modern medical device design, representing an obvious extension of existing monitoring capabilities
Source Patent Element
Mechanical vascular closure system
PTD Variation
Machine learning predictive analytics module for closure success probability
Obviousness Reasoning
Applying statistical modeling and machine learning to medical device performance prediction is a well-established technique in medical technology, representing a logical application of data science to device optimization
Source Patent Element
Mechanical deployment mechanism for vascular closure
PTD Variation
Blockchain-based decentralized ledger for deployment tracking
Obviousness Reasoning
Using blockchain for secure medical procedure documentation represents a straightforward application of existing digital record-keeping technologies to medical device deployment processes
Source Patent Element
Vascular closure device with mechanical components
PTD Variation
Generative adversarial networks for device design optimization
Obviousness Reasoning
Utilizing computational design optimization techniques is a standard engineering approach for iterative product development, representing a predictable application of advanced computational methods
35 U.S.C. § 103 Summary: Based on the teachings of US Patent 11857172 and the comprehensive technological extensions disclosed herein, a person having ordinary skill in the art would find the proposed vascular closure system variations obvious and predictable. The integration of machine learning, IoT, blockchain, and nanomaterial technologies represents a logical and incremental advancement of existing medical device design principles, thereby rendering potential patent claims covering similar technological combinations anticipated and non-patentable under 35 U.S.C. Section 103.

Original Patent Information

Patent NumberUS 11,857,172
TitleVascular closure device and method of closing a vascular access hole using such a device
Assignee(s)Angiomed GmbH & Co. Medizintechnik KG