Intelligent Stent Loading System

Publication ID: 24-11857441_0010_PTD
Published: October 28, 2025
Category:Future Evolutions & Paradigm Shifts

Legal Citation

pr1or.art Inc., “Intelligent Stent Loading System,” Published Technical Disclosure No. 24-11857441_0010_PTD, Published October 28, 2025, available at https://archive.pr1or.art/24-11857441_0010_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. 11,857,441.

Summary of the Inventive Concept

A next-generation stent loading system that leverages predictive analytics, machine learning, and artificial intelligence to optimize stent configuration and deployment for personalized patient care.

Background and Problem Solved

The original stent loading device patent addressed the need for efficient and reliable stent loading and deployment. However, it did not account for patient-specific anatomical variations, which can lead to suboptimal stent performance. The new inventive concept solves this problem by integrating advanced analytics and AI capabilities to ensure precise and tailored stent loading and deployment.

Detailed Description of the Inventive Concept

The Intelligent Stent Loading System comprises a predictive analytics module that utilizes patient-specific anatomical data to determine the optimal collapsed configuration of the stent. The system further includes a real-time feedback mechanism to ensure accurate loading and deployment of the stent. Additionally, the system may incorporate machine learning algorithms to predict the optimal stent configuration for a specific patient's anatomy and adapt to various stent sizes and configurations. The system may also include a simulation module to predict the performance of optimized stent designs in various clinical scenarios.

Novelty and Inventive Step

The new inventive concept introduces the use of predictive analytics, machine learning, and artificial intelligence to optimize stent configuration and deployment, which is a significant departure from the original patent's mechanical approach. The integration of these advanced technologies enables personalized patient care and improves stent performance, making the new concept novel and non-obvious.

Alternative Embodiments and Variations

Alternative embodiments of the Intelligent Stent Loading System may include the use of different types of predictive analytics models, such as deep learning or Bayesian networks, or the integration of additional sensors or imaging modalities to enhance the accuracy of the system. Variations of the system may also include different types of stent designs or materials, or the use of robotic-assisted loading and deployment mechanisms.

Potential Commercial Applications and Market

The Intelligent Stent Loading System has significant commercial potential in the medical device industry, particularly in the field of interventional cardiology. The system's ability to provide personalized patient care and improve stent performance makes it an attractive solution for hospitals and medical centers. The market for this technology is expected to grow significantly in the coming years, driven by the increasing demand for minimally invasive medical procedures and the need for more effective and efficient stent deployment systems.

CPC Classifications

SectionClassGroup
A A61 A61F2/95
A A61 A61F2/2466
A A61 A61F2/9525
A A61 A61F2/958
A A61 A61F2/9522
A A61 A61F2210/0014
A A61 A61F2230/0017
A A61 A61F2230/0071

Field of Art

Medical Device Engineering, specifically interventional cardiology and minimally invasive stent delivery systems, focusing on device design, biomechanical engineering, and medical device manufacturing

Person of Ordinary Skill (PHOSITA) Profile

A biomedical engineer with advanced degree, expertise in medical device design, familiarity with stent loading mechanisms, knowledge of computational modeling, and understanding of medical imaging and patient-specific device optimization techniques

Obviousness Rationale

A PHOSITA would recognize that integrating predictive analytics and machine learning into stent loading represents a natural technological progression from mechanical loading systems. The core mechanical principles of stent compression and delivery remain consistent, with the proposed variations representing incremental improvements in precision and personalization. The use of computational techniques to optimize medical device performance is a well-established approach in biomedical engineering, making the PTD's proposed variations predictable extensions of existing technological capabilities.

Obvious Combinations & Variations

Source Patent Element
Mechanical stent loading device with conical decreasing diameter section for collapsing stents
PTD Variation
Integrating machine learning algorithms to predict optimal stent collapse configuration based on patient anatomy
Obviousness Reasoning
Predictable application of computational techniques to improve existing mechanical loading process, representing a known method of enhancing medical device performance through data-driven design
Source Patent Element
Longitudinal and radial slot mechanisms for preventing stent movement during loading
PTD Variation
Real-time feedback mechanism using sensors to monitor stent positioning and deployment accuracy
Obviousness Reasoning
Known technique of adding sensor-based monitoring to mechanical systems, providing enhanced control and precision in medical device manipulation
Source Patent Element
Stent loading method involving progressive stent compression
PTD Variation
Simulation module to predict stent performance across different anatomical configurations
Obviousness Reasoning
Predictable extension of existing design principles using computational modeling, a standard approach in medical device engineering for exploring design variations
Source Patent Element
Mechanical funneling device for stent compression
PTD Variation
Hybrid loading device combining mechanical funneling with soft robotic grasping system
Obviousness Reasoning
Obvious combination of known mechanical and robotic technologies to improve device flexibility and handling characteristics
Source Patent Element
Stent delivery system for implanting prosthetic heart valve
PTD Variation
Integration with electronic health records to generate personalized loading and deployment strategies
Obviousness Reasoning
Predictable application of data integration techniques to enhance medical device customization, representing a standard approach to patient-specific medical technology
35 U.S.C. § 103 Summary: Based on the teachings of US Patent 11857441 and the disclosed technological variations, a person having ordinary skill in the art would find the proposed intelligent stent loading system variations obvious and predictable extensions of existing stent delivery technologies. The incremental improvements in computational modeling, machine learning integration, and patient-specific optimization represent standard technological progressions within medical device engineering, thereby rendering potential patent claims obvious and unpatentable under 35 U.S.C. Section 103.

Original Patent Information

Patent NumberUS 11,857,441
TitleStent loading device
Assignee(s)4C Medical Technologies, Inc.