Published Technical Disclosure Archive

Neuro-Haptic Surgical Alignment System

Publication ID: 24-11857200_0005_PTD
Published: November 07, 2025
Category:Future Evolutions & Paradigm Shifts

Legal Citation

pr1or.art Inc., “Neuro-Haptic Surgical Alignment System,” Published Technical Disclosure No. 24-11857200_0005_PTD, Published November 07, 2025, available at https://archive.pr1or.art/24-11857200_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. 11,857,200.

Summary of the Inventive Concept

A next-generation surgical system that leverages neural networks, artificial intelligence, and virtual reality to enable real-time haptic feedback and automated alignment of surgical tools, revolutionizing the field of computer-assisted surgeries.

Background and Problem Solved

The original patent, 'Automated alignment of a surgical tool,' addressed the limitations of traditional haptic control systems in computer-assisted surgeries. However, it relied on traditional tracking systems and lacked real-time feedback capabilities. The new inventive concept solves this problem by integrating neural networks, artificial intelligence, and virtual reality to provide real-time haptic feedback and automated alignment of surgical tools.

Detailed Description of the Inventive Concept

The Neuro-Haptic Surgical Alignment System comprises a robotic arm, an end effector, a neural network-based tracking system, a virtual reality module, and a machine learning-based control system. The system detects the patient's anatomy using artificial intelligence-based navigation and generates a virtual trajectory for the surgical tool. The system then adjusts the surgical tool's position in real-time to maintain alignment with the virtual trajectory, providing real-time haptic feedback to the surgeon through a tactile feedback module and a force feedback module.

Novelty and Inventive Step

The new claims introduce a paradigm shift in surgical systems by incorporating neural networks, artificial intelligence, and virtual reality. The use of neural networks for tracking and predicting patient positions, artificial intelligence for navigation and virtual trajectory generation, and virtual reality for immersive planning and execution of surgical procedures are novel and non-obvious compared to the original patent.

Alternative Embodiments and Variations

Alternative embodiments of the Neuro-Haptic Surgical Alignment System could include the use of other machine learning algorithms, different types of haptic feedback, or the integration of additional sensors and tracking systems. Variations could also include the application of this technology to other medical procedures, such as robotic-assisted rehabilitation or training simulations.

Potential Commercial Applications and Market

The Neuro-Haptic Surgical Alignment System has the potential to revolutionize the field of computer-assisted surgeries, offering improved accuracy, reduced procedure time, and enhanced patient outcomes. The market potential is significant, with applications in hospitals, surgical centers, and medical research institutions.

CPC Classifications

SectionClassGroup
A A61 A61B17/15
A A61 A61B17/142
A A61 A61B17/1615
A A61 A61B17/1703
A A61 A61B34/20
A A61 A61B34/30
A A61 A61B34/76
A A61 A61B17/157
A A61 A61B34/25
A A61 A61B90/03
A A61 A61B2017/00128
A A61 A61B2034/105
A A61 A61B2034/2055

Field of Art

Surgical robotics and haptic control systems, specifically computer-assisted surgical technologies involving robotic manipulation, tracking, and feedback mechanisms. Requires advanced understanding of robotics, neural networks, medical imaging, and human-machine interfaces

Person of Ordinary Skill (PHOSITA) Profile

A biomedical engineer or robotics specialist with expertise in surgical technologies, machine learning, neural networks, and haptic feedback systems. Possesses advanced degrees in biomedical engineering, computer science, or related fields with practical experience in robotic surgical system design

Obviousness Rationale

A PHOSITA would recognize that integrating neural networks, artificial intelligence, and virtual reality into existing surgical tracking and alignment systems represents a predictable technological evolution. The source patent's foundational surgical tool alignment methodology provides a clear framework for extending capabilities through advanced computational techniques. The proposed variations demonstrate incremental improvements using known machine learning and visualization technologies that would be apparent to a skilled practitioner in surgical robotics.

Obvious Combinations & Variations

Source Patent Element
Tracking system configured to detect patient and end effector positions
PTD Variation
Neural network-based tracking system that predicts patient and end effector positions
Obviousness Reasoning
Predictable application of machine learning to enhance existing tracking methodologies, representing an obvious technological improvement using standard neural network techniques
Source Patent Element
Virtual trajectory generation for surgical tool alignment
PTD Variation
AI-based navigation system generating dynamic virtual trajectories based on detected patient anatomy
Obviousness Reasoning
Logical extension of existing trajectory concepts using artificial intelligence, representing a known technique for improving precision and adaptability
Source Patent Element
Haptic feedback mechanisms for surgical tool control
PTD Variation
Machine learning-based control system dynamically adjusting tactile and force feedback
Obviousness Reasoning
Predictable implementation of adaptive feedback systems using established machine learning approaches to enhance user interaction
Source Patent Element
Robotic arm with end effector for surgical procedures
PTD Variation
Virtual reality module generating anatomical representations for surgical planning and execution
Obviousness Reasoning
Obvious integration of visualization technologies to augment existing robotic surgical platforms, representing a standard design choice in medical technology
Source Patent Element
Surgical tool alignment and positioning system
PTD Variation
Machine learning-based simulation module for surgical training and performance evaluation
Obviousness Reasoning
Predictable application of computational techniques to create training environments, utilizing well-established simulation methodologies in medical education
35 U.S.C. § 103 Summary: Based on the teachings of US Patent 11857200 and the disclosed technological variations, a person having ordinary skill in the art would find the proposed neural network, artificial intelligence, and virtual reality extensions to surgical alignment systems to be obvious and non-patentable. The incremental improvements represent predictable technological advancements using standard machine learning and computational techniques within the established framework of computer-assisted surgical technologies.

Original Patent Information

Patent NumberUS 11,857,200
TitleAutomated alignment of a surgical tool
Assignee(s)MAKO Surgical Corp.