Published Technical Disclosure Archive

Personalized Orthopedic Surgery 2.0

Publication ID: 24-11857206_0010_PTD
Published: November 07, 2025
Category:Future Evolutions & Paradigm Shifts

Legal Citation

pr1or.art Inc., “Personalized Orthopedic Surgery 2.0,” Published Technical Disclosure No. 24-11857206_0010_PTD, Published November 07, 2025, available at https://archive.pr1or.art/24-11857206_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. 11,857,206.

Summary of the Inventive Concept

A next-generation surgical system that leverages AI, machine learning, and digital twinning to provide personalized surgical planning, real-time navigation, and optimized patient outcomes for orthopedic procedures.

Background and Problem Solved

The original patent disclosed patient-specific surgical tools, but these tools were limited by their manual nature and lack of real-time feedback. The new inventive concept addresses these limitations by integrating AI-driven surgical planning, digital twinning, and real-time navigation to provide more accurate and effective surgical outcomes.

Detailed Description of the Inventive Concept

The Personalized Orthopedic Surgery 2.0 system comprises a machine learning module that analyzes a patient's medical history, genetic profile, and anatomical data to predict optimal surgical outcomes and generate customized surgical tools and guides. The system also includes a digital twin of the patient's anatomy, which is used to simulate and optimize surgical procedures. During the procedure, a real-time tracking and navigation system provides augmented reality feedback and guidance to the surgeon. The system's modular, adaptive surgical guide system allows for interchangeable modules that can be customized and reconfigured for different surgical procedures and patient anatomies.

Novelty and Inventive Step

The new claims introduce the use of AI, machine learning, and digital twinning in orthopedic surgery, which is a significant departure from the manual, patient-specific tools disclosed in the original patent. The integration of these technologies provides a novel and non-obvious solution for personalized surgical planning and real-time navigation.

Alternative Embodiments and Variations

Alternative embodiments of the Personalized Orthopedic Surgery 2.0 system could include the use of robotic-assisted surgery, virtual reality training for surgeons, or cloud-based data analytics for patient outcome tracking. Variations of the system could be developed for different types of surgical procedures, such as spinal or cranial surgeries.

Potential Commercial Applications and Market

The Personalized Orthopedic Surgery 2.0 system has significant commercial potential in the orthopedic surgery market, which is projected to grow to $66.5 billion by 2025. The system's ability to provide personalized surgical planning and real-time navigation could lead to improved patient outcomes, reduced surgical complications, and increased efficiency in the operating room.

CPC Classifications

SectionClassGroup
A A61 A61B17/1764
A A61 A61B17/1728
A A61 A61B17/56
A A61 A61B2017/00526
A A61 A61B2017/564
A A61 A61B2017/568
A A61 A61B2034/108

Field of Art

Orthopedic surgical technologies, specifically patient-specific surgical tools and procedural planning systems, involving advanced medical imaging, biomechanical analysis, and surgical intervention design

Person of Ordinary Skill (PHOSITA) Profile

A biomedical engineer or orthopedic surgical technology specialist with expertise in medical device design, computational modeling, surgical planning, and advanced manufacturing techniques, holding advanced degrees in biomedical engineering or related fields

Obviousness Rationale

A PHOSITA would recognize that the integration of machine learning, digital twinning, and AI-driven surgical planning represents a natural technological progression from patient-specific surgical tools, leveraging emerging computational technologies to enhance existing surgical methodologies. The disclosed system extends the core concept of patient-specific tool design by introducing predictive and adaptive technologies that optimize surgical outcomes through data-driven approaches. These variations represent incremental improvements that would be apparent to a skilled practitioner seeking to enhance surgical precision and personalization.

Obvious Combinations & Variations

Source Patent Element
Patient-specific surgical tool with precise anatomical conformance
PTD Variation
AI-generated surgical tool design using machine learning and digital anatomical modeling
Obviousness Reasoning
Predictable extension of existing patient-specific design principles using known machine learning techniques to automate and optimize tool customization
Source Patent Element
Surgical tool with specific geometric configurations for bone alignment
PTD Variation
Real-time augmented reality navigation system for surgical tool placement and guidance
Obviousness Reasoning
Known technique of enhancing surgical precision through computational tracking and visualization technologies
Source Patent Element
Manual surgical tool design based on patient anatomy
PTD Variation
Modular, adaptive surgical guide system with interchangeable configuration modules
Obviousness Reasoning
Predictable design evolution representing a finite set of potential improvements to existing patient-specific tool design methodologies
Source Patent Element
Orthopedic surgical procedure involving bone alignment correction
PTD Variation
Comprehensive surgical planning system using genetic and medical history data for outcome prediction
Obviousness Reasoning
Logical application of computational predictive technologies to existing surgical planning methodologies
Source Patent Element
Patient-specific surgical intervention approach
PTD Variation
Cloud-based data analytics for tracking and optimizing surgical outcomes across patient populations
Obviousness Reasoning
Obvious technological progression using standard data management and machine learning techniques to enhance medical intervention strategies
35 U.S.C. § 103 Summary: Based on the teachings of US Patent 11857206 and the disclosed technological variations, a person having ordinary skill in the art would find the claimed innovations obvious and anticipated, specifically demonstrating that the integration of machine learning, digital twinning, and adaptive surgical technologies represents a predictable and incremental advancement in patient-specific surgical tool design and procedural planning methodologies.

Original Patent Information

Patent NumberUS 11,857,206
TitlePatient-specific surgical tools
Assignee(s)LABORATOIRES BODYCAD INC.