Advanced Internal Fixation System with Adaptive Technology

Publication ID: 24-11857237_0010_PTD
Published: November 07, 2025
Category:Future Evolutions & Paradigm Shifts

Legal Citation

pr1or.art Inc., “Advanced Internal Fixation System with Adaptive Technology,” Published Technical Disclosure No. 24-11857237_0010_PTD, Published November 07, 2025, available at https://archive.pr1or.art/24-11857237_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. 11,857,237.

Summary of the Inventive Concept

A next-generation internal fixation system that leverages adaptive surface topology, machine learning, and modular design to provide personalized, optimal, and minimally invasive bone fixation.

Background and Problem Solved

Conventional internal fixation systems rely on manual adjustments and limited flexibility, often resulting in suboptimal fixation and prolonged recovery times. The original patent's forceps design, while effective, lacks the adaptability and precision required for complex bone geometries and varied patient needs. This new inventive concept addresses these limitations by integrating cutting-edge technologies to revolutionize the field of internal fixation.

Detailed Description of the Inventive Concept

The advanced internal fixation system comprises a bone fragment holder with adaptive surface topology, capable of conforming to diverse bone geometries. A neural network-based optimization module predicts optimal fixation configurations, ensuring precise and stable bone alignment. The system also includes interchangeable forceps modules with varied gripping patterns and angles, which can be assembled and placed with precision using a robotic arm. Real-time monitoring is enabled through sensors embedded in the forceps, providing surgeons with instant feedback and optimization suggestions via a cloud-based analytics platform. Additionally, the system incorporates bio-absorbable internal fixation devices with biodegradable forceps structures that release osteogenic factors to promote bone growth, further enhancing the overall efficacy and biocompatibility of the system.

Novelty and Inventive Step

The new claims introduce a paradigm shift in internal fixation by integrating adaptive technology, machine learning, and modular design. The use of neural networks for optimization, interchangeable forceps modules, and real-time monitoring via cloud-based analytics are novel and non-obvious advancements that significantly improve upon the original patent's design.

Alternative Embodiments and Variations

Alternative embodiments of the advanced internal fixation system could include the use of other machine learning algorithms, different adaptive surface topologies, or varying modular designs. Additionally, the system could be adapted for use in other medical fields, such as orthopedic or craniofacial surgery.

Potential Commercial Applications and Market

The advanced internal fixation system has significant commercial potential in the orthopedic and medical device industries, offering a competitive advantage in terms of precision, efficacy, and patient outcomes. The system's adaptability and modular design make it an attractive solution for hospitals and medical centers seeking to improve their internal fixation capabilities.

CPC Classifications

SectionClassGroup
A A61 A61B17/8866
A A61 A61B17/808

Field of Art

Orthopedic surgical instrumentation, specifically medical devices for bone fragment fixation and alignment, requiring expertise in biomechanical engineering, surgical techniques, and advanced materials design

Person of Ordinary Skill (PHOSITA) Profile

A biomedical engineer or orthopedic surgical device designer with advanced degree, familiar with medical device design, biomaterials, and surgical intervention technologies, possessing knowledge of mechanical engineering principles and medical device regulatory standards

Obviousness Rationale

A PHOSITA would recognize that the PTD represents a predictable technological evolution of the source patent's bone fragment fixation concept, applying known machine learning and adaptive technologies to enhance surgical precision and personalization. The disclosed variations represent incremental improvements using standard engineering design methodologies and emerging medical technologies. The integration of neural networks, modular design, and sensor-based monitoring are logical extensions of existing surgical device development approaches.

Obvious Combinations & Variations

Source Patent Element
Forceps with holding portions designed to correspond to bone fragment geometries
PTD Variation
Adaptive surface topology using machine learning to dynamically conform to diverse bone geometries
Obviousness Reasoning
Predictable application of known machine learning techniques to improve existing geometric matching principles, representing a standard design optimization approach
Source Patent Element
Fixed forceps design for holding bone fragments
PTD Variation
Interchangeable forceps modules with varied gripping patterns and robotic placement
Obviousness Reasoning
Logical extension of modular design principles, utilizing standard robotics and precision placement technologies commonly applied in medical device engineering
Source Patent Element
Static internal fixation method
PTD Variation
Real-time monitoring system with embedded sensors and cloud-based analytics
Obviousness Reasoning
Predictable integration of IoT and sensor technologies into medical devices, representing a standard technological progression in surgical instrumentation
Source Patent Element
Metal or rigid internal fixation components
PTD Variation
Bio-absorbable forceps with osteogenic factor release and nanotechnology coating
Obviousness Reasoning
Known biomaterial design approach applying standard techniques of controlled drug release and biocompatibility enhancement
35 U.S.C. § 103 Summary: Pursuant to 35 U.S.C. ยง 103, the variations disclosed in the Published Technical Disclosure would have been obvious to a Person Having Ordinary Skill In The Art at the time of invention, when considered in light of US Patent 11857237. The incremental technological advancements represent predictable combinations of known techniques in surgical device design, machine learning, and adaptive technologies, thereby rendering potential patent claims covering similar technological implementations unpatentable.

Original Patent Information

Patent NumberUS 11,857,237
TitleForceps for internal fixation
Assignee(s)THE CATHOLIC UNIVERSITY OF KOREA INDUSTRY-ACADEMIC COOPERATION FOUNDATION