Synergistic Bone Screw System for Personalized Spinal Implantation

Publication ID: 24-11857233_0008_PTD
Published: November 07, 2025
Category:Synergistic Combinations

Legal Citation

pr1or.art Inc., “Synergistic Bone Screw System for Personalized Spinal Implantation,” Published Technical Disclosure No. 24-11857233_0008_PTD, Published November 07, 2025, available at https://archive.pr1or.art/24-11857233_0008_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. 11,857,233.

Summary of the Inventive Concept

The present invention integrates bone screws manufactured by additive manufacturing with AI-powered surgical planning, machine learning-optimized design, blockchain-based simulation tools, IoT-enabled 3D printing, and sensor systems using new materials to create a personalized spinal implantation system.

Background and Problem Solved

The original patent disclosed a bone screw with a specific thread design and material composition. However, the existing design has limitations in terms of customization, material usage, and surgical planning. The present inventive concept addresses these limitations by combining the bone screw with advanced technologies to create a more effective and efficient spinal implantation system.

Detailed Description of the Inventive Concept

The synergistic bone screw system comprises a bone screw manufactured by additive manufacturing, which allows for the creation of complex geometries and porous structures. The bone screw is configured to integrate with an AI-powered surgical planning system, which provides personalized implantation plans based on patient-specific data. The system also utilizes machine learning algorithms to optimize bone screw design, selecting options that maximize strength and minimize material usage. Additionally, the system incorporates blockchain-based simulation tools to optimize the internal structure of the bone screw, providing deflection in selected areas. The bone screw can also be created using IoT-enabled 3D printing, allowing for real-time monitoring and adaptation of the printing process. Furthermore, the system integrates a sensor system using new materials, which monitors bone screw performance and provides real-time feedback to the surgeon.

Novelty and Inventive Step

The present inventive concept is novel and non-obvious in its combination of additive manufacturing, AI-powered surgical planning, machine learning-optimized design, blockchain-based simulation tools, IoT-enabled 3D printing, and sensor systems using new materials. The integration of these technologies creates a synergistic system that provides a more effective and efficient spinal implantation solution.

Alternative Embodiments and Variations

Alternative embodiments of the inventive concept could include using different AI algorithms for surgical planning, incorporating additional sensors for real-time monitoring, or utilizing different blockchain-based simulation tools. Variations of the system could also include using different materials or manufacturing methods for the bone screw, or integrating the system with other medical devices.

Potential Commercial Applications and Market

The synergistic bone screw system has significant commercial potential in the spinal implantation market, which is projected to grow significantly in the coming years. The system's ability to provide personalized implantation plans, optimize bone screw design, and integrate with advanced technologies makes it an attractive solution for surgeons, hospitals, and medical device manufacturers.

CPC Classifications

SectionClassGroup
A A61 A61B17/8625
A A61 A61B17/7059
A A61 A61B17/866
A A61 A61B17/7001
A A61 A61B2017/00526
A A61 A61B2017/00862

Field of Art

Medical device engineering, specifically spinal implant design and advanced manufacturing techniques, requiring expertise in biomaterials, additive manufacturing, surgical device optimization, and biomedical engineering with advanced knowledge of 3D printing and computational design methods

Person of Ordinary Skill (PHOSITA) Profile

A biomedical engineer or orthopedic device designer with advanced degrees, proficient in computational modeling, additive manufacturing techniques, materials science, and surgical device optimization, with working knowledge of AI and machine learning applications in medical device design

Obviousness Rationale

A PHOSITA would recognize that the PTD's disclosed variations represent predictable extensions of existing bone screw manufacturing techniques, utilizing known computational and manufacturing technologies to incrementally improve spinal implant design through systematic optimization and personalization strategies. The integration of AI, machine learning, and advanced manufacturing represents a natural progression of existing medical device development methodologies. The technical variations demonstrate combinatorial improvements that would be obvious to a skilled practitioner familiar with emerging medical device design paradigms.

Obvious Combinations & Variations

Source Patent Element
Bone screw with complex material composition and thread configurations
PTD Variation
Additive manufacturing of bone screws with porous structures and AI-optimized geometries
Obviousness Reasoning
Predictable application of advanced manufacturing techniques to create more complex and patient-specific implant designs, representing a known technique for improving medical device performance
Source Patent Element
Spinal implant system with multiple manufacturing techniques
PTD Variation
IoT-enabled 3D printing with real-time monitoring and blockchain-based simulation tools
Obviousness Reasoning
Logical extension of existing manufacturing methodologies using emerging computational and monitoring technologies, representing an incremental improvement in device production processes
Source Patent Element
Bone screw with varied material composition in different regions
PTD Variation
Machine learning-optimized design selecting configurations that maximize strength and minimize material usage
Obviousness Reasoning
Application of computational optimization techniques to existing material design principles, representing a predictable use of AI in engineering design selection
Source Patent Element
Medical device for spinal treatment with specific geometric configurations
PTD Variation
Sensor-integrated bone screw system providing real-time performance monitoring
Obviousness Reasoning
Known technique of integrating sensor technologies into medical devices to enhance surgical outcomes and device performance tracking
35 U.S.C. § 103 Summary: Based on the teachings of US Patent 11857233 and the published technical disclosure, a person having ordinary skill in the art would find the claimed variations obvious, as the disclosed methods represent predictable combinations of known manufacturing techniques, computational optimization strategies, and sensor integration approaches in medical device design. The incremental improvements demonstrate no inventive leap beyond the existing technological landscape, thereby rendering potential claims obvious under 35 U.S.C. Section 103.

Original Patent Information

Patent NumberUS 11,857,233
TitleBone screw and method of manufacture
Assignee(s)WARSAW ORTHOPEDIC, INC.