Intelligent Surgical Tool Alignment and Navigation System

Publication ID: 24-11857200_0008_PTD
Published: November 07, 2025
Category:Synergistic Combinations

Legal Citation

pr1or.art Inc., “Intelligent Surgical Tool Alignment and Navigation System,” Published Technical Disclosure No. 24-11857200_0008_PTD, Published November 07, 2025, available at https://archive.pr1or.art/24-11857200_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. 11,857,200.

Summary of the Inventive Concept

A novel system that combines haptic control, machine learning, IoT, blockchain, and augmented reality to provide real-time, adaptive alignment and navigation of surgical tools during computer-assisted surgeries, enabling more precise and efficient procedures.

Background and Problem Solved

The original patent, 'Automated alignment of a surgical tool,' addressed the need for accurate and efficient alignment of surgical tools during computer-assisted surgeries. However, the patent's limitations include the lack of real-time adaptability to changing patient anatomy and the absence of integrated technologies to enhance the surgical experience. The new inventive concept overcomes these limitations by integrating distinct technologies to provide a more comprehensive and effective surgical system.

Detailed Description of the Inventive Concept

The Intelligent Surgical Tool Alignment and Navigation System comprises a surgical tool, a haptic device, a machine learning module, an IoT-enabled navigation system, a blockchain-based decentralized artificial intelligence network, and an augmented reality visualization device. The machine learning module analyzes data from the haptic device to predict a patient's anatomy and adaptively adjust the surgical tool's movement. The IoT-enabled navigation system provides real-time tracking of the patient's anatomy, while the blockchain-based decentralized artificial intelligence network ensures secure and transparent data analysis. The augmented reality visualization device displays a 3D model of the patient's anatomy, superimposed onto real-time video images of the surgical site, allowing the surgeon to visualize the procedure with unprecedented accuracy.

Novelty and Inventive Step

The new inventive concept introduces the novel combination of haptic control, machine learning, IoT, blockchain, and augmented reality to create a more powerful and adaptive surgical system. The integration of these distinct technologies provides a synergistic effect, enabling real-time adaptability to changing patient anatomy and enhancing the overall surgical experience. The new claims are non-obvious compared to the original patent, as they introduce new components and interactions that were not previously disclosed.

Alternative Embodiments and Variations

Alternative embodiments of the inventive concept could include the use of different machine learning algorithms, varying levels of IoT connectivity, or alternative augmented reality visualization methods. Additionally, the system could be adapted for use in various surgical specialties, such as orthopedic, neurosurgical, or cardiovascular procedures.

Potential Commercial Applications and Market

The Intelligent Surgical Tool Alignment and Navigation System has significant commercial potential in the surgical technology market, particularly in the areas of computer-assisted surgeries and minimally invasive procedures. The system's ability to provide real-time, adaptive alignment and navigation of surgical tools could improve surgical outcomes, reduce procedure times, and enhance the overall surgical experience. The target market includes hospitals, surgical centers, and medical device manufacturers.

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 computer-assisted surgical systems, with expertise in haptic interfaces, robotic arm control, surgical navigation, and biomechanical tracking technologies

Person of Ordinary Skill (PHOSITA) Profile

A biomedical engineer or robotics specialist with advanced degrees in mechanical engineering or biomedical engineering, experienced in surgical tool design, machine learning applications in medical technologies, and robotic control systems

Obviousness Rationale

A PHOSITA would recognize that the published technical disclosure represents a predictable combination of known surgical robotics technologies, extending the source patent's foundational haptic control and tracking concepts through standard technological integration techniques. The additional layers of machine learning, IoT, and augmented reality represent incremental improvements using well-established interdisciplinary approaches in medical technology. The core surgical navigation and haptic feedback principles remain fundamentally consistent with the original patent's teachings.

Obvious Combinations & Variations

Source Patent Element
Robotic arm with end effector and tracking system for detecting patient and tool positions
PTD Variation
Adding machine learning module to analyze haptic device data and predict patient anatomy
Obviousness Reasoning
Predictable application of machine learning to existing surgical tracking systems, representing a known technique for enhancing precision and adaptability
Source Patent Element
Virtual boundary definition for surgical tool movement
PTD Variation
Implementing blockchain-based AI network for secure data analysis and tool navigation
Obviousness Reasoning
Logical extension of existing navigation systems using contemporary distributed computing techniques, representing an obvious design optimization
Source Patent Element
Haptic feedback mechanisms for surgical tool control
PTD Variation
Integrating augmented reality visualization to overlay anatomical models onto surgical site
Obviousness Reasoning
Well-known visualization technique in surgical robotics, representing a predictable enhancement to existing haptic control systems
Source Patent Element
Computer-assisted surgical tracking and positioning
PTD Variation
IoT-enabled remote monitoring and real-time surgical procedure tracking
Obviousness Reasoning
Standard technological progression in medical device connectivity, representing an obvious implementation of emerging communication technologies
Source Patent Element
Surgical tool alignment and positioning system
PTD Variation
Adaptive movement optimization using artificial intelligence to minimize tissue damage
Obviousness Reasoning
Predictable application of machine learning to surgical precision, representing a known approach to improving surgical outcomes
35 U.S.C. § 103 Summary: Based on the teachings of US Patent 11857200 and the published technical disclosure, a person having ordinary skill in the art would find the claimed surgical navigation and control variations obvious, as they represent predictable combinations of known surgical robotics technologies. The incremental technological integrations, including machine learning, IoT, and augmented reality, do not rise to the level of non-obvious innovation when viewed in the context of existing surgical tracking and haptic control systems.

Original Patent Information

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