Published Technical Disclosure Archive

Next-Generation Surgical System with Autonomous Decision-Making and Augmented Reality

Publication ID: 24-11857201_0010_PTD
Published: November 07, 2025
Category:Future Evolutions & Paradigm Shifts

Legal Citation

pr1or.art Inc., “Next-Generation Surgical System with Autonomous Decision-Making and Augmented Reality,” Published Technical Disclosure No. 24-11857201_0010_PTD, Published November 07, 2025, available at https://archive.pr1or.art/24-11857201_0010_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. 11,857,201.

Summary of the Inventive Concept

A novel surgical system integrating autonomous decision-making, augmented reality, and advanced haptic feedback to revolutionize surgical procedures, providing unparalleled precision, safety, and efficiency.

Background and Problem Solved

The original patent, 'Surgical system with automated alignment', has limitations in terms of relying on pre-planned resections and lacking real-time adaptability. The new inventive concept addresses these limitations by introducing autonomous decision-making capabilities, enabling the system to dynamically adjust to changing surgical conditions.

Detailed Description of the Inventive Concept

The next-generation surgical system comprises a computer vision module analyzing real-time video feeds from the surgical site, a machine learning module predicting optimal surgical trajectories, and a robotic arm executing the predicted trajectories. Additionally, the system incorporates an augmented reality interface, providing surgeons with real-time 3D visualization of the patient's anatomy, and a haptic device offering tactile feedback. The system can also be integrated with wearable devices for real-time surgical feedback, leveraging physiological responses to optimize surgical performance.

Novelty and Inventive Step

The new claims introduce autonomous decision-making capabilities, augmented reality-assisted surgical planning, and real-time surgical navigation, which are not present in the original patent. These innovations provide a paradigm shift in surgical technology, enabling more precise, efficient, and adaptive surgical procedures.

Alternative Embodiments and Variations

Alternative embodiments may include variations in the computer vision module, such as using different sensors or machine learning algorithms. The system could also be adapted for use in various surgical specialties, such as orthopedic, neurosurgical, or cardiovascular procedures. Furthermore, the augmented reality interface could be integrated with virtual reality or mixed reality technologies to enhance the surgical experience.

Potential Commercial Applications and Market

The next-generation surgical system has vast commercial potential in the medical device industry, with applications in hospitals, clinics, and surgical centers. The system's autonomous decision-making capabilities, augmented reality features, and real-time surgical navigation make it an attractive solution for surgeons seeking to improve patient outcomes, reduce complications, and enhance their surgical skills.

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 medical intervention systems, involving advanced haptic interfaces, computer vision, machine learning, and augmented reality technologies for precision surgical procedures

Person of Ordinary Skill (PHOSITA) Profile

A biomedical engineer or robotics specialist with expertise in surgical technologies, machine learning algorithms, computer vision systems, and human-machine interfaces, holding advanced degrees in bioengineering or related fields with 3-5 years of experience in medical device development

Obviousness Rationale

A PHOSITA would recognize that the PTD represents a predictable extension of the source patent's surgical haptic system by integrating emerging technologies like machine learning, computer vision, and augmented reality, which are well-established techniques for enhancing surgical precision and decision-making capabilities. The systematic integration of these technologies follows established design patterns in medical robotics, representing incremental improvements rather than radical innovations. The variations demonstrate standard technological progression by applying known computational techniques to enhance the core surgical system disclosed in the original patent.

Obvious Combinations & Variations

Source Patent Element
Robotic device configured to be coupled to a surgical tool with haptic control capabilities
PTD Variation
Adding machine learning module to predict optimal surgical trajectories and computer vision for real-time video feed analysis
Obviousness Reasoning
Applying machine learning and computer vision to surgical robotics represents a known technique for improving precision, with predictable results of enhanced surgical guidance and decision support
Source Patent Element
Controller with processor for managing surgical tool interactions
PTD Variation
Implementing augmented reality interface providing 3D visualization of patient anatomy
Obviousness Reasoning
Integrating visualization technologies with surgical control systems is a standard design approach for improving surgical accuracy, representing an obvious combination of known techniques
Source Patent Element
Sensor for detecting user presence and modifying robotic device behavior
PTD Variation
Wearable device with sensor array detecting surgeon's physiological responses and generating personalized feedback
Obviousness Reasoning
Expanding sensor-based interaction to include physiological monitoring is a predictable evolution of existing human-machine interface technologies in surgical systems
Source Patent Element
Haptic device providing tactile feedback during surgical procedures
PTD Variation
Cloud-based collaborative platform for remote surgical planning with virtual reality interface
Obviousness Reasoning
Extending haptic feedback technologies to collaborative platforms represents a logical progression in telemedicine and surgical training technologies
Source Patent Element
Robotic system with configurable control modes
PTD Variation
Autonomous decision-making capabilities using machine learning to generate personalized surgical plans
Obviousness Reasoning
Implementing adaptive, intelligent control systems is a standard approach for enhancing robotic surgical technologies, representing an obvious technological progression
35 U.S.C. § 103 Summary: Based on the teachings of US Patent 11857201 and the comprehensive technical disclosure, a person having ordinary skill in the art would find the claimed variations obvious, as they represent predictable combinations of known surgical robotics technologies, machine learning techniques, and computational methods for enhancing surgical precision and decision-making capabilities.

Original Patent Information

Patent NumberUS 11,857,201
TitleSurgical system with automated alignment
Assignee(s)MAKO Surgical Corp.