Next-Generation Personalized Prosthetic Sleeves

Publication ID: 24-11857439_0005_PTD
Published: October 28, 2025
Category:Future Evolutions & Paradigm Shifts

Legal Citation

pr1or.art Inc., “Next-Generation Personalized Prosthetic Sleeves,” Published Technical Disclosure No. 24-11857439_0005_PTD, Published October 28, 2025, available at https://archive.pr1or.art/24-11857439_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. 11,857,439.

Summary of the Inventive Concept

A paradigm-shifting approach to prosthetic sleeve manufacturing, integrating AI-driven design optimization, adaptive materials, and real-time feedback to create bespoke, high-performance prosthetics that adapt to individual patients' needs.

Background and Problem Solved

The original patent disclosed a method for manufacturing customized sleeves for prostheses, but it has limitations in terms of material properties, design flexibility, and patient-specific adaptability. The new inventive concept addresses these limitations by introducing advanced technologies and algorithms to create a new generation of prosthetic sleeves that better meet the complex needs of patients.

Detailed Description of the Inventive Concept

The next-generation prosthetic sleeve system comprises a neural network-based design optimization module, a swarm intelligence-driven material selection algorithm, and a modular, adaptive sleeve architecture. The system uses patient-specific data, real-time sensor feedback, and machine learning to generate customized sleeve geometries, optimize material properties, and adapt to changes in the patient's limb morphology over time. The sleeve core is made of a shape-memory alloy, allowing for tunable stiffness and adaptability. The system enables remote consultation and reduces the need for in-person fittings through a virtual reality-based prosthetic fitting platform.

Novelty and Inventive Step

The new claims introduce a radical departure from the original patent by incorporating AI-driven design optimization, adaptive materials, and real-time feedback. The inventive step lies in the integration of these advanced technologies to create a holistic, patient-centric prosthetic sleeve system that surpasses the limitations of the original patent.

Alternative Embodiments and Variations

Alternative embodiments of the inventive concept could include the use of other AI algorithms, such as genetic programming or fuzzy logic, to optimize sleeve design and material selection. Variations of the modular sleeve architecture could include interchangeable modules with distinct material properties and geometries, allowing for real-time reconfiguration and adaptation to changing patient needs.

Potential Commercial Applications and Market

The next-generation prosthetic sleeve system has significant commercial potential in the orthopedic and prosthetic industries, offering a competitive advantage through its adaptability, high-performance materials, and patient-centric design. The system could be marketed as a premium product, targeting high-end clinics and hospitals, as well as individual patients seeking bespoke prosthetic solutions.

CPC Classifications

SectionClassGroup
A A61 A61F2/5046
B B29 B29C45/0053
B B29 B29C45/14065
B B29 B29C45/14336
B B29 B29C65/48
B B29 B29C66/729
A A61 A61F2002/5053
A A61 A61F2002/5056
A A61 A61F2002/7837
B B29 B29C2045/0079
B B29 B29C2045/14155
B B29 B29K2083/00
B B29 B29K2105/0061
B B29 B29L2031/7532

Field of Art

Medical prosthetics manufacturing, specifically focusing on customized prosthetic sleeve design and fabrication, involving materials engineering, biomechanical adaptation, and advanced manufacturing techniques

Person of Ordinary Skill (PHOSITA) Profile

A biomedical engineer with expertise in polymer processing, prosthetic design, and advanced manufacturing techniques, possessing knowledge of materials science, computer-aided design, and medical device fabrication methods

Obviousness Rationale

A person having ordinary skill would recognize that the PTD's AI-driven design and adaptive material approaches are logical extensions of the source patent's customized sleeve manufacturing method. The fundamental process of creating patient-specific prosthetic sleeves remains consistent, with the PTD introducing predictable technological enhancements using known machine learning and materials engineering principles. The core manufacturing concept of creating a customized mold and injecting material around a preform remains substantially unchanged, with the PTD merely introducing more sophisticated optimization techniques.

Obvious Combinations & Variations

Source Patent Element
Providing a mold of an end of a limb for prosthesis manufacturing
PTD Variation
Neural network-based design optimization to generate customized mold geometries
Obviousness Reasoning
Using machine learning to refine mold design is a predictable application of known AI techniques to an existing manufacturing process, representing an obvious design optimization approach
Source Patent Element
Preform made of elastomer material with variable thickness
PTD Variation
Shape-memory alloy core with tunable stiffness and adaptive material properties
Obviousness Reasoning
Modifying material properties to enhance prosthetic performance is a standard engineering design choice within predictable material science principles
Source Patent Element
Manufacturing method for customized prosthetic sleeve
PTD Variation
Swarm intelligence algorithm for iterative design refinement based on sensor feedback
Obviousness Reasoning
Implementing adaptive optimization algorithms is a known technique for improving manufacturing processes, representing an obvious technological progression
Source Patent Element
Silicone gel-based preform with specific temperature manufacturing conditions
PTD Variation
Modular prosthetic system with interchangeable sleeve modules and distinct material geometries
Obviousness Reasoning
Creating modular design approaches with variable material configurations is a standard engineering solution for enhancing product adaptability
Source Patent Element
Method for creating patient-specific prosthetic sleeve
PTD Variation
Virtual reality-based fitting platform using machine learning to simulate outcomes
Obviousness Reasoning
Integrating computational simulation and machine learning into medical device design represents a predictable technological advancement in prosthetic manufacturing
35 U.S.C. § 103 Summary: Pursuant to 35 U.S.C. ยง 103, the variations disclosed in this publication would have been obvious to a person having ordinary skill in the art at the time of invention, with a reasonable expectation of success, when considering the teachings of US Patent 11857439 in combination with known techniques in machine learning, materials engineering, and prosthetic design. The disclosed innovations represent predictable extensions of existing prosthetic manufacturing methodologies, utilizing standard engineering problem-solving approaches.

Original Patent Information

Patent NumberUS 11,857,439
TitleMethod for manufacturing a customized sleeve for a prosthesis