Enhanced Markerless Navigation for Robotic Surgery

Publication ID: 24-11857271_0001_PTD
Published: November 07, 2025
Category:Direct Improvements & Enhancements

Legal Citation

pr1or.art Inc., “Enhanced Markerless Navigation for Robotic Surgery,” Published Technical Disclosure No. 24-11857271_0001_PTD, Published November 07, 2025, available at https://archive.pr1or.art/24-11857271_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. 11,857,271.

Summary of the Inventive Concept

The inventive concept improves markerless navigation in robotic surgery by leveraging AI computer vision, machine learning, and real-time video feed to predict and correct deviations in the surgical tool's trajectory, ensuring accurate placement and minimizing errors.

Background and Problem Solved

The original patent for markerless navigation using AI computer vision has limitations in accurately tracking objects of interest and guiding surgical tools. The new inventive concept addresses these limitations by introducing novel methods for real-time 3D tracking, unique identifier-based object tracking, and AI-powered trajectory correction, thereby enhancing the overall precision and safety of robotic surgery.

Detailed Description of the Inventive Concept

The inventive concept comprises a system for markerless navigation in robotic surgery, utilizing a neural network to predict and correct for deviations in the surgical tool's trajectory based on real-time video feed. Additionally, the system incorporates a method for tracking an object of interest by projecting a light beam with a unique identifier and using machine learning algorithms to combine data from multiple cameras and generate a 3D model of the object. The system also features a surgical navigation system with a light source projecting a patterned light beam and a processing unit using artificial intelligence to detect and track the patterned light beam in real-time.

Novelty and Inventive Step

The new claims introduce novel elements, including the use of neural networks for trajectory correction, unique identifier-based object tracking, and machine learning algorithms for 3D model generation. These elements are non-obvious and provide a significant improvement over the original patent, enabling more accurate and efficient robotic surgery.

Alternative Embodiments and Variations

Alternative embodiments of the inventive concept could include using different types of sensors or cameras, implementing various machine learning algorithms, or integrating the system with existing robotic surgery platforms. Variations could also involve adapting the system for use in different surgical procedures or environments.

Potential Commercial Applications and Market

The enhanced markerless navigation system has significant commercial potential in the robotic surgery market, particularly in areas such as orthopedic, neurosurgical, and cardiovascular procedures. The system's ability to improve accuracy and minimize errors could lead to increased adoption and market share in the growing robotic surgery industry.

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 surgical navigation systems, computer vision, and AI-assisted medical imaging technologies, requiring expertise in medical robotics, machine learning, computer vision, and surgical instrumentation

Person of Ordinary Skill (PHOSITA) Profile

A skilled practitioner with advanced degrees in biomedical engineering, computer science, or robotics, possessing expertise in AI algorithms, medical imaging techniques, and surgical navigation technologies

Obviousness Rationale

A PHOSITA would recognize that the PTD's variations represent predictable extensions of the source patent's core markerless navigation technology by integrating well-known machine learning and computer vision techniques to enhance surgical tool tracking and trajectory correction. The proposed neural network and multi-camera tracking methods are logical technological progressions that would be apparent to a skilled practitioner familiar with AI-assisted surgical navigation systems.

Obvious Combinations & Variations

Source Patent Element
Projecting a light beam onto an object of interest for tracking during surgical procedures
PTD Variation
Adding a unique identifier to the projected light beam and using machine learning algorithms to enhance tracking accuracy
Obviousness Reasoning
Incorporating unique identifiers and machine learning for improved object tracking is a predictable application of known computer vision techniques to enhance existing markerless navigation methods
Source Patent Element
Basic markerless navigation using image segmentation
PTD Variation
Implementing neural networks to predict and correct surgical tool trajectory deviations in real-time
Obviousness Reasoning
Applying neural network trajectory correction is an obvious optimization using standard machine learning approaches to improve surgical navigation precision
Source Patent Element
Single camera image processing for object tracking
PTD Variation
Multi-camera data fusion using machine learning algorithms to generate comprehensive 3D models
Obviousness Reasoning
Combining multiple camera inputs through machine learning is a standard technique for improving spatial understanding and tracking accuracy in computer vision systems
Source Patent Element
Basic patterned light projection for object identification
PTD Variation
AI-powered real-time detection and tracking of patterned light beams with adaptive processing
Obviousness Reasoning
Enhancing light beam tracking with artificial intelligence represents a straightforward technological improvement using well-established computer vision techniques
Source Patent Element
Surgical tool navigation based on image processing
PTD Variation
Projecting virtual trajectories and dynamically adjusting tool placement using real-time video feedback
Obviousness Reasoning
Creating virtual trajectory overlays and implementing adaptive guidance is an obvious extension of existing surgical navigation technologies
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 claimed innovations obvious and lacking inventive step. The proposed enhancements to markerless surgical navigation represent predictable combinations of known techniques in computer vision, machine learning, and robotic surgical systems, thereby rendering potential patent claims obvious and unpatentable under 35 U.S.C. Section 103.

Original Patent Information

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