Enhanced Robotic Surgical System with Advanced User Interface and Predictive Analytics

Publication ID: 24-11857351_0001_PTD
Published: October 28, 2025
Category:Direct Improvements & Enhancements

Legal Citation

pr1or.art Inc., “Enhanced Robotic Surgical System with Advanced User Interface and Predictive Analytics,” Published Technical Disclosure No. 24-11857351_0001_PTD, Published October 28, 2025, available at https://archive.pr1or.art/24-11857351_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. 11,857,351.

Summary of the Inventive Concept

An advanced robotic surgical system that integrates real-time feedback, predictive analytics, and machine learning algorithms to improve surgical outcomes, reduce complications, and enhance operator control and training.

Background and Problem Solved

The original robotic surgical system patent has limitations in providing real-time feedback, predicting potential complications, and optimizing surgical trajectories. The new inventive concept addresses these limitations by introducing an enhanced user interface, integrated navigation module, and predictive analytics capabilities to improve the overall surgical experience.

Detailed Description of the Inventive Concept

The enhanced robotic surgical system comprises a multi-axis surgical robot with an advanced user interface that provides real-time feedback of surgical site conditions and suggested adjustments for optimal procedure outcomes. The system also includes integrated sensors that provide real-time data for predictive analytics, enabling the system to predict potential complications and provide alerts to the operator. Additionally, the system features an integrated navigation module that utilizes machine learning algorithms to optimize surgical trajectories and minimize tissue damage. The system also includes a modular tool changer with a sterilization module for rapid sterilization of surgical tools between procedures. Furthermore, the system provides a simulated surgical environment with realistic haptic feedback for operator training, utilizing machine learning algorithms to assess operator proficiency and provide personalized training recommendations.

Novelty and Inventive Step

The new claims introduce novel and non-obvious features, including the enhanced user interface with real-time feedback, predictive analytics capabilities, integrated navigation module with machine learning algorithms, and modular tool changer with sterilization module. These features provide a significant improvement over the original patent, enabling better surgical outcomes, reduced complications, and improved operator control and training.

Alternative Embodiments and Variations

Alternative embodiments of the inventive concept could include variations in the user interface design, sensor types and configurations, navigation module algorithms, and tool changer designs. Additionally, the system could be adapted for use in different surgical specialties or procedures, such as neurosurgery, orthopedic surgery, or laparoscopic surgery.

Potential Commercial Applications and Market

The enhanced robotic surgical system has significant commercial potential in the medical device industry, particularly in the areas of orthopedic, neuro, and laparoscopic surgery. The system's advanced features and improved surgical outcomes could lead to increased adoption and market share, with potential applications in hospitals, ambulatory surgical centers, and medical research institutions.

CPC Classifications

SectionClassGroup
A A61 A61B50/22
A A61 A61B34/30
A A61 A61B34/35
A A61 A61B2017/00464

Field of Art

Robotic surgical systems and medical robotics, with expertise in multi-axis robotic platforms, surgical tool interfaces, and advanced human-machine interaction technologies

Person of Ordinary Skill (PHOSITA) Profile

A biomedical engineer or robotics specialist with advanced degrees, experience in surgical robotics design, knowledge of machine learning, sensor integration, and human-computer interface technologies

Obviousness Rationale

A person having ordinary skill in the art would recognize that the PTD's enhancements represent predictable extensions of the source patent's robotic surgical system framework. The additional features of real-time feedback, predictive analytics, and machine learning algorithms are logical technological progressions that address known limitations in existing surgical robotic systems. These variations would be considered obvious improvements that leverage standard engineering techniques and emerging medical technology trends.

Obvious Combinations & Variations

Source Patent Element
Multi-axis surgical robot with tool attachment device
PTD Variation
Enhanced user interface with real-time surgical site feedback and suggested adjustments
Obviousness Reasoning
A PHOSITA would recognize that adding advanced user feedback is a predictable solution to improve surgical precision and operator control, using known human-computer interaction design principles
Source Patent Element
Surgical robot system with interchangeable tools
PTD Variation
Modular tool changer with integrated sterilization module
Obviousness Reasoning
Implementing an automated sterilization process is an obvious enhancement that addresses known cross-contamination risks, utilizing standard sterilization technologies and modular design principles
Source Patent Element
Robotic system for surgical procedures
PTD Variation
Integrated navigation module using machine learning algorithms to optimize surgical trajectory
Obviousness Reasoning
Applying machine learning to surgical trajectory optimization represents a predictable application of emerging AI technologies to improve surgical precision, using well-established algorithmic approaches
Source Patent Element
Surgical robot with tool mounting capabilities
PTD Variation
Simulated surgical environment with haptic feedback for operator training
Obviousness Reasoning
Creating training simulations is a known technique for skill development, with machine learning assessment representing a logical extension of existing training technologies
Source Patent Element
Multi-axis surgical robot system
PTD Variation
Predictive analytics system for detecting potential surgical complications
Obviousness Reasoning
Implementing predictive risk assessment is an obvious improvement that leverages sensor integration and data analysis techniques common in medical technology
35 U.S.C. § 103 Summary: Based on the teachings of US Patent 11857351 and the disclosed technical variations, a person having ordinary skill in the art would find the claimed innovations obvious and lacking in non-obvious inventive merit. The proposed enhancements represent predictable technological progressions that would be readily conceived by a skilled practitioner seeking to improve existing robotic surgical system capabilities through standard engineering approaches and emerging medical technology integration.

Original Patent Information

Patent NumberUS 11,857,351
TitleRobotic surgical system and method
Assignee(s)Globus Medical, Inc.