Published Technical Disclosure Archive

AI-Integrated Vessel Flow Control Systems

Publication ID: 24-11857195_0003_PTD
Published: November 07, 2025
Category:Synergistic Combinations

Legal Citation

pr1or.art Inc., “AI-Integrated Vessel Flow Control Systems,” Published Technical Disclosure No. 24-11857195_0003_PTD, Published November 07, 2025, available at https://archive.pr1or.art/24-11857195_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. 11,857,195.

Summary of the Inventive Concept

The invention integrates vessel flow control devices with AI, IoT, blockchain, and new materials to create a personalized, real-time, and secure treatment system for afflicted vessels and vessel-associated tissues.

Background and Problem Solved

The original patent addressed vessel flow control, but its limitations included lack of real-time monitoring, limited data analysis, and inadequate security measures. The new inventive concept overcomes these limitations by integrating distinct technologies to provide a more effective, efficient, and secure treatment system.

Detailed Description of the Inventive Concept

The AI-Integrated Vessel Flow Control Systems comprise a vessel flow control device integrated with an AI-powered diagnostic module to predict optimal occlusion factors based on real-time patient data. The system also includes a blockchain-based secure data storage module for recording treatment outcomes, IoT sensors to monitor vessel conditions, and a micro-electromechanical system (MEMS) to provide precise control over occlusion factors. Additionally, the system incorporates a nanomaterial-based biosensor to monitor biomarkers indicative of vascular tissue health and a machine learning algorithm to adjust the occlusion factor based on real-time biomarker data.

Novelty and Inventive Step

The new claims introduce the integration of AI, IoT, blockchain, and new materials into vessel flow control devices, providing a novel and non-obvious solution that significantly improves the treatment of afflicted vessels and vessel-associated tissues.

Alternative Embodiments and Variations

Alternative embodiments may include integrating the vessel flow control device with other technologies, such as robotics or advanced imaging modalities. Variations may include adapting the system for use in different vascular territories or incorporating additional biomarkers for more personalized treatment.

Potential Commercial Applications and Market

The AI-Integrated Vessel Flow Control Systems have significant commercial potential in the medical device industry, particularly in the areas of cardiovascular and neurovascular treatment. The target market includes hospitals, clinics, and medical research institutions.

CPC Classifications

SectionClassGroup
A A61 A61B17/1204
A A61 A61B17/12027
A A61 A61B17/12031
A A61 A61B17/12036
A A61 A61B17/12045
A A61 A61B17/12109
A A61 A61B17/12136
A A61 A61B17/12177
A A61 A61F2/86
A A61 A61F2/90
A A61 A61B2017/00004
A A61 A61B2090/064
A A61 A61F2002/068
A A61 A61F2250/0031

Field of Art

Medical device technologies for vascular intervention, specifically flow control systems for vessel treatment, encompassing interventional cardiology, interventional radiology, and biomedical engineering with expertise in device design, sensor integration, and adaptive medical technologies

Person of Ordinary Skill (PHOSITA) Profile

A biomedical engineer or medical device designer with advanced degrees, experience in minimally invasive medical technologies, understanding of sensor integration, data analytics, and adaptive medical device design, familiar with emerging technologies in medical instrumentation

Obviousness Rationale

A PHOSITA would recognize that integrating AI, IoT, and advanced sensing technologies into existing vessel flow control devices represents a predictable technological evolution. The source patent's fundamental vessel occlusion mechanism provides a clear technological foundation for incorporating intelligent monitoring and adaptive control systems. The proposed variations represent logical extensions of existing medical device technologies, utilizing well-established engineering principles of sensor integration, data analytics, and personalized medical treatment approaches.

Obvious Combinations & Variations

Source Patent Element
Variable occlusion element with controllable internal volume and feedback mechanisms
PTD Variation
AI-powered diagnostic module predicting optimal occlusion factors using real-time patient data
Obviousness Reasoning
Extending feedback control to machine learning represents a predictable application of known data analysis techniques to existing medical device control systems
Source Patent Element
Occlusion factor controlled by pressure or flow measurements
PTD Variation
IoT sensors monitoring vessel conditions with machine learning algorithm for dynamic occlusion adjustment
Obviousness Reasoning
Implementing advanced sensor networks and adaptive algorithms is a natural progression of existing feedback-controlled medical device technologies
Source Patent Element
Outer membrane with shape dictated by occlusion factor
PTD Variation
Shape-memory alloy occlusion element integrated with MEMS for precise control
Obviousness Reasoning
Utilizing advanced materials and micro-mechanical systems to enhance existing shape-adaptive medical device designs represents a standard engineering approach to performance improvement
Source Patent Element
Method for treating patient vessels with controllable occlusion
PTD Variation
Nanomaterial-based biosensor monitoring vascular tissue health with machine learning-driven occlusion adjustment
Obviousness Reasoning
Incorporating biomarker monitoring into existing vessel treatment technologies is a foreseeable enhancement in personalized medical interventions
Source Patent Element
Vessel flow control method with percentage-based occlusion
PTD Variation
Blockchain-based secure communication protocol for transmitting and analyzing vessel flow data
Obviousness Reasoning
Implementing secure data transmission and analysis protocols represents a standard technological progression in medical device interconnectivity
35 U.S.C. § 103 Summary: Based on the teachings of US Patent 11857195 and the disclosed technological variations, a person having ordinary skill in the art would find the proposed AI-integrated vessel flow control systems and methods obvious and anticipated, as the combination represents predictable applications of known medical device technologies using standard engineering design approaches.

Original Patent Information

Patent NumberUS 11,857,195
TitleVessel flow control devices and methods