Published Technical Disclosure Archive

Intelligent Markerless Navigation System for Robotic-Assisted Surgery

Publication ID: 24-11857271_0003_PTD
Published: November 07, 2025
Category:Synergistic Combinations

Legal Citation

pr1or.art Inc., “Intelligent Markerless Navigation System for Robotic-Assisted Surgery,” Published Technical Disclosure No. 24-11857271_0003_PTD, Published November 07, 2025, available at https://archive.pr1or.art/24-11857271_0003_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. 11,857,271.

Summary of the Inventive Concept

A novel system integrating AI computer vision, IoT sensor networks, blockchain data storage, and new materials for enhanced markerless navigation in robotic-assisted surgery.

Background and Problem Solved

The original patent, 'Markerless navigation using AI computer vision,' provided a foundational method for tracking objects of interest in surgical procedures. However, this invention was limited to a singular AI computer vision approach. The new inventive concept addresses the need for a more comprehensive and integrated system, combining AI computer vision with IoT, blockchain, and new materials to provide a more accurate, secure, and efficient markerless navigation system for robotic-assisted surgery.

Detailed Description of the Inventive Concept

The Intelligent Markerless Navigation System comprises an AI-driven computer vision module for real-time object recognition, an IoT-enabled sensor network for tracking surgical tools and body parts, and a blockchain-based data storage for secure and transparent surgical records. Additionally, the system incorporates new material-based implants with embedded sensors for tracking object movement. This synergistic combination enables the system to provide real-time feedback, adjust robotic movement, and generate 3D models of the surgical site, thereby enhancing the accuracy and efficiency of robotic-assisted surgery.

Novelty and Inventive Step

The new inventive concept introduces the integration of AI computer vision with IoT sensor networks, blockchain data storage, and new materials, which is a novel and non-obvious combination that provides a more comprehensive and effective markerless navigation system for robotic-assisted surgery.

Alternative Embodiments and Variations

Alternative embodiments of the inventive concept could include varying the type of sensors used in the IoT-enabled sensor network, utilizing different blockchain protocols for data storage, or incorporating additional AI-driven components for enhanced object recognition. These variations would ensure broad conceptual coverage and adaptability to different surgical environments.

Potential Commercial Applications and Market

The Intelligent Markerless Navigation System has significant commercial potential in the medical technology industry, particularly in the field of robotic-assisted surgery. The system's enhanced accuracy, security, and efficiency would appeal to hospitals, surgical centers, and medical device manufacturers, providing a competitive advantage in the market.

CPC Classifications

SectionClassGroup
A A61 A61B34/20
A A61 A61B90/39
G G06 G06N3/08
G G06 G06T7/10
G G06 G06T7/74
A A61 A61B2034/2057
A A61 A61B2034/2065
A A61 A61B2090/3945
A A61 A61B2090/3983
G G06 G06T2207/20081
G G06 G06T2207/20084

Field of Art

Robotic-assisted surgical navigation systems, computer vision, AI-driven medical imaging, and sensor integration technologies, requiring advanced degrees in biomedical engineering, computer science, or related interdisciplinary fields with expertise in machine learning, medical imaging, and robotic control systems

Person of Ordinary Skill (PHOSITA) Profile

A skilled practitioner with knowledge of computer vision algorithms, medical imaging techniques, robotic surgical systems, sensor integration, and AI-driven object recognition technologies, capable of understanding complex interdisciplinary technical solutions

Obviousness Rationale

A PHOSITA would recognize that integrating IoT sensor networks, blockchain data storage, and AI-enhanced computer vision with existing markerless navigation techniques represents predictable technological evolution. The source patent's foundational computer vision tracking method naturally suggests expanding tracking capabilities through additional sensor technologies and data management approaches. The proposed variations represent logical extensions of existing surgical navigation technologies using well-understood integration strategies.

Obvious Combinations & Variations

Source Patent Element
Computer-implemented method for tracking an object of interest using light beam projection and image segmentation
PTD Variation
Adding IoT-enabled sensor networks for enhanced tracking and real-time data transmission
Obviousness Reasoning
Expanding tracking capabilities through additional sensor technologies is a known technique in medical imaging, representing a predictable improvement to existing object recognition methods
Source Patent Element
Image segmentation and object contour detection for surgical navigation
PTD Variation
Implementing AI-driven computer vision for more sophisticated object recognition and 3D model generation
Obviousness Reasoning
Applying machine learning techniques to enhance existing computer vision methods is a standard approach in image processing technologies
Source Patent Element
Surgical tool and body part tracking during medical procedures
PTD Variation
Incorporating blockchain-based data storage for secure and transparent surgical record management
Obviousness Reasoning
Implementing secure data management techniques is an obvious design choice for improving medical record integrity and traceability
Source Patent Element
Light beam projection for object tracking
PTD Variation
Developing new material-based implants with embedded sensors for enhanced movement tracking
Obviousness Reasoning
Integrating additional sensing capabilities into medical implants represents a predictable technological progression in surgical navigation systems
35 U.S.C. § 103 Summary: Based on the teachings of US Patent 11857271 and the disclosed technological variations, a person having ordinary skill in the art would find the proposed markerless navigation system extensions obvious and lacking inventive merit. The combination of existing computer vision techniques with IoT sensor networks, blockchain data storage, and AI-enhanced tracking represents a predictable technological evolution that would be apparent to a skilled practitioner in the field of robotic-assisted surgical navigation systems.

Original Patent Information

Patent NumberUS 11,857,271
TitleMarkerless navigation using AI computer vision