Advanced Robotic-Assisted Revision Procedure System with Real-Time Feedback and AI-Powered Optimization

Publication ID: 24-11857270_0001_PTD
Published: November 07, 2025
Category:Direct Improvements & Enhancements

Legal Citation

pr1or.art Inc., “Advanced Robotic-Assisted Revision Procedure System with Real-Time Feedback and AI-Powered Optimization,” Published Technical Disclosure No. 24-11857270_0001_PTD, Published November 07, 2025, available at https://archive.pr1or.art/24-11857270_0001_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. 11,857,270.

Summary of the Inventive Concept

The present disclosure relates to an advanced robotic-assisted revision procedure system that leverages real-time feedback and artificial intelligence to minimize bone loss, reduce the risk of damage to surrounding tissue, and optimize the cutting trajectory for more efficient and safer removal of primary implants.

Background and Problem Solved

Currently, surgeons perform revision surgeries, such as revision knee and hip procedures, manually or with limited robotic assistance. This can result in inaccurate cutting, removing more bone than desired, and lessening the strength and integrity of the bone. The original patent disclosed a method for performing a robotic-assisted revision procedure, but it had limitations in terms of accuracy, efficiency, and safety. The present inventive concept addresses these limitations by introducing real-time feedback and AI-powered optimization to the robotic-assisted revision procedure system.

Detailed Description of the Inventive Concept

The advanced robotic-assisted revision procedure system consists of a robotic arm with a cutting instrument, a force sensor for detecting the force applied by the cutting instrument, and a control unit that adjusts the cutting trajectory based on the detected force. The system also generates a 3D model of the subject's bone structure in real-time, allowing for more accurate removal of the primary implant. Furthermore, the system utilizes artificial intelligence to predict the optimal cutting trajectory based on the subject's bone structure and the primary implant's location, reducing the time and complexity of the revision procedure. The system can also be configured to automatically adjust the cutting trajectory based on real-time feedback from the force sensor, minimizing bone loss and reducing the risk of damage to surrounding tissue.

Novelty and Inventive Step

The present inventive concept introduces several novel features that distinguish it from the original patent. These include the use of real-time feedback from a force sensor to adjust the cutting trajectory, the generation of a 3D model of the subject's bone structure in real-time, and the application of artificial intelligence to predict the optimal cutting trajectory. These features provide a significant improvement in accuracy, efficiency, and safety over the original patent, and are considered non-obvious and innovative in the field of robotic-assisted revision procedures.

Alternative Embodiments and Variations

Alternative embodiments of the inventive concept could include the use of different types of sensors, such as optical or acoustic sensors, to provide real-time feedback. The system could also be adapted for use in different types of revision procedures, such as spinal or cranial procedures. Additionally, the AI-powered optimization could be integrated with other surgical planning tools to provide a more comprehensive surgical solution.

Potential Commercial Applications and Market

The advanced robotic-assisted revision procedure system has significant commercial potential in the orthopedic and surgical markets. The system's ability to minimize bone loss, reduce the risk of damage to surrounding tissue, and optimize the cutting trajectory for more efficient and safer removal of primary implants makes it an attractive solution for hospitals and surgical centers. The market for robotic-assisted surgical systems is growing rapidly, and the present inventive concept is well-positioned to capitalize on this trend.

CPC Classifications

SectionClassGroup
A A61 A61B34/20
A A61 A61B5/055
A A61 A61B6/032
A A61 A61B8/0875
A A61 A61B17/15
A A61 A61B17/1703
A A61 A61B34/30
A A61 A61B90/361
A A61 A61B90/37
A A61 A61B2034/102
A A61 A61B2034/105
A A61 A61B2034/2055
A A61 A61B2034/2065
A A61 A61B2090/3983

Field of Art

Robotic-assisted surgical systems, specifically orthopedic revision procedures, involving precision surgical instrumentation, biomechanical modeling, and computer-guided surgical interventions

Person of Ordinary Skill (PHOSITA) Profile

A biomedical engineer or orthopedic surgical technology specialist with expertise in robotic surgical systems, computer-aided surgical planning, sensor integration, and biomechanical modeling, holding advanced degrees in bioengineering or medical technology

Obviousness Rationale

A PHOSITA would recognize that the PTD's additions of real-time force sensing, AI-powered trajectory optimization, and dynamic 3D modeling represent predictable technological extensions of the source patent's robotic-assisted surgical framework. These variations apply standard engineering techniques of sensor integration and machine learning to enhance the precision and adaptability of robotic surgical systems. The incremental improvements demonstrate standard problem-solving approaches within robotic surgical technology.

Obvious Combinations & Variations

Source Patent Element
Tracked instrument for capturing positions during surgical procedure
PTD Variation
Adding force sensor to provide real-time feedback and trajectory adjustment
Obviousness Reasoning
Integrating force sensing is a known technique for improving surgical precision, representing a predictable enhancement to existing tracked instrument technologies
Source Patent Element
Intraoperative virtual boundary generation method
PTD Variation
Implementing AI-powered predictive modeling for optimal cutting trajectory
Obviousness Reasoning
Applying machine learning to surgical planning represents a standard evolutionary approach in medical technology, using known computational techniques to refine existing procedural methods
Source Patent Element
Manual implant removal procedure
PTD Variation
Automated trajectory adjustment to minimize bone loss
Obviousness Reasoning
Developing closed-loop feedback systems to reduce surgical trauma is a recognized design optimization strategy in medical device engineering
Source Patent Element
Basic robotic-assisted surgical system
PTD Variation
Real-time 3D bone structure modeling during procedure
Obviousness Reasoning
Implementing dynamic imaging techniques is a predictable technological progression in surgical robotics, utilizing standard computational and sensing technologies
35 U.S.C. § 103 Summary: Based on the teachings of US Patent 11857270, a person of ordinary skill in the art would find the technical variations disclosed herein to be obvious extensions of the prior art, specifically the incremental improvements in robotic-assisted surgical systems involving real-time feedback, AI-powered trajectory optimization, and dynamic surgical modeling. The disclosed variations represent standard engineering solutions that would be apparent to a skilled practitioner seeking to enhance precision and reduce surgical complications in robotic-assisted revision procedures.

Original Patent Information

Patent NumberUS 11,857,270
TitleSystems and methods for a robotic-assisted revision procedure
Assignee(s)MAKO Surgical Corp.