Autonomous Surgical Ecosystem

Publication ID: 24-11857265_0005_PTD
Published: November 07, 2025
Category:Future Evolutions & Paradigm Shifts

Legal Citation

pr1or.art Inc., “Autonomous Surgical Ecosystem,” Published Technical Disclosure No. 24-11857265_0005_PTD, Published November 07, 2025, available at https://archive.pr1or.art/24-11857265_0005_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. 11,857,265.

Summary of the Inventive Concept

The Autonomous Surgical Ecosystem is a futuristic surgical platform that leverages advancements in robotics, artificial intelligence, and virtual reality to revolutionize computer-aided surgery. This next-generation technology enables seamless collaboration, personalized surgical planning, and autonomous surgical execution, transforming the field of surgery.

Background and Problem Solved

The original patent, 'Method and apparatus for computer aided surgery', provided a foundation for computer-assisted surgical procedures. However, its limitations in terms of manual intervention, limited data analytics, and lack of autonomous capabilities hindered its potential. The Autonomous Surgical Ecosystem addresses these limitations by introducing a swarm of micro-robots, neural network-based control systems, and AI-driven surgical instruments, enabling a paradigm shift in surgical procedures.

Detailed Description of the Inventive Concept

The Autonomous Surgical Ecosystem comprises four key components: 1) a swarm of micro-robots that navigate through a patient's body to perform procedures, 2) a neural network-based control system that learns from real-time data and adapts to changing surgical conditions, 3) a surgical instrument with integrated artificial intelligence, capable of autonomously detecting and responding to tissue anomalies, and 4) a cloud-based surgical platform enabling remote collaboration and real-time data sharing. The system utilizes machine learning algorithms and real-time data analytics to generate patient-specific digital twins, simulate multiple surgical scenarios, and select optimal approaches. Additionally, a virtual reality-based surgical training system provides personalized feedback and assessment to trainee surgeons.

Novelty and Inventive Step

The Autonomous Surgical Ecosystem's novelty lies in its ability to integrate AI-driven autonomous capabilities, real-time data analytics, and virtual reality-based training, creating a paradigm shift in computer-aided surgery. The inventive step is the synergistic combination of these components, enabling a seamless, data-driven, and autonomous surgical experience.

Alternative Embodiments and Variations

Alternative embodiments of the Autonomous Surgical Ecosystem could include the use of nanorobots, bio-inspired surgical instruments, or augmented reality-based visualization. Variations could involve the integration of additional data sources, such as genomic data or medical imaging, to further enhance the system's capabilities.

Potential Commercial Applications and Market

The Autonomous Surgical Ecosystem has far-reaching commercial potential in the fields of surgery, healthcare, and medical education. It could be marketed as a comprehensive surgical platform, offering a range of benefits, including improved surgical outcomes, reduced recovery times, and enhanced training capabilities. The target industries include hospitals, surgical centers, medical research institutions, and pharmaceutical companies.

CPC Classifications

SectionClassGroup
A A61 A61B34/10
A A61 A61B17/142
A A61 A61B17/15
A A61 A61B17/154
A A61 A61B17/1675
A A61 A61B17/1703
A A61 A61B17/1764
A A61 A61B34/20
A A61 A61B34/30
A A61 A61B90/11
A A61 A61B90/36
A A61 A61B17/1626
A A61 A61B34/25
A A61 A61B90/90
A A61 A61B2017/00026
A A61 A61B2017/00199
A A61 A61B2017/00212
A A61 A61B2017/00221
A A61 A61B2017/00725
A A61 A61B2017/320052
A A61 A61B2034/101
A A61 A61B2034/102
A A61 A61B2034/104
A A61 A61B2034/105
A A61 A61B2034/107
A A61 A61B2034/108
A A61 A61B2034/2055
A A61 A61B2034/2068
A A61 A61B2034/2072
A A61 A61B2034/254
A A61 A61B2034/256
A A61 A61B2034/258
A A61 A61B2090/061
A A61 A61B2090/065
A A61 A61B2090/0812
A A61 A61B2090/365
A A61 A61B2090/367
A A61 A61B2090/372
A A61 A61B2090/395
A A61 A61B2090/3937
A A61 A61F2002/4632
A A61 A61F2002/4633

Field of Art

Computer-assisted surgical technologies, encompassing surgical navigation systems, robotic surgical platforms, and advanced medical imaging techniques. Requires expertise in medical engineering, robotics, computer vision, and surgical procedural workflows

Person of Ordinary Skill (PHOSITA) Profile

A biomedical engineer or surgical technology specialist with advanced degrees in bioengineering, computer science, or medical robotics. Possesses knowledge of surgical navigation systems, machine learning applications in medical contexts, and emerging computational surgical technologies

Obviousness Rationale

A PHOSITA would recognize the PTD's autonomous surgical ecosystem as a predictable extension of existing computer-assisted surgical technologies. The disclosed system represents an incremental advancement in surgical guidance by integrating known techniques like machine learning, robotic navigation, and real-time data analytics into a comprehensive surgical platform. The core technical elements are logical combinations of existing surgical navigation and robotic intervention methodologies

Obvious Combinations & Variations

Source Patent Element
Electronic three-dimensional representation of patient anatomy for surgical guidance
PTD Variation
Patient-specific digital twin generation using machine learning and real-time data analytics
Obviousness Reasoning
Creating computational models of patient anatomy is a known technique. Enhancing these models with machine learning represents an obvious technological progression using predictable computational methods
Source Patent Element
Tracking user input and surgical procedure data
PTD Variation
Cloud-based surgical platform enabling remote collaboration and real-time data sharing
Obviousness Reasoning
Extending surgical data tracking to cloud-based platforms is a natural technological evolution, representing an obvious application of existing data management and telecommunications technologies
Source Patent Element
Displaying multiple anatomical views during surgical procedure
PTD Variation
Virtual reality-based surgical training using AI-generated avatars and realistic simulations
Obviousness Reasoning
Transitioning from static anatomical displays to immersive training environments is a predictable advancement in surgical visualization technologies, utilizing known machine learning and rendering techniques
Source Patent Element
Computer-guided surgical instrument alignment
PTD Variation
Autonomous surgical instrument with integrated AI capable of detecting and responding to tissue anomalies
Obviousness Reasoning
Enhancing surgical instrument intelligence through anomaly detection represents an obvious technological progression in robotic surgical systems, leveraging established machine learning and sensor integration techniques
Source Patent Element
Electronic representation of surgical procedure steps
PTD Variation
Neural network-based control system learning from real-time surgical data and adapting to changing conditions
Obviousness Reasoning
Implementing adaptive learning systems in surgical contexts is a predictable application of established machine learning methodologies to existing surgical navigation technologies
35 U.S.C. § 103 Summary: Based on the teachings of US Patent 11857265 and the disclosed Autonomous Surgical Ecosystem, a person having ordinary skill in the art would find the claimed variations obvious. The incremental technological advancements represent predictable combinations of known surgical navigation, robotic intervention, and machine learning techniques, thereby rendering potential patent claims obvious and anticipatable as a matter of standard technological progression.

Original Patent Information

Patent NumberUS 11,857,265
TitleMethod and apparatus for computer aided surgery
Assignee(s)Board of Regents of the University of Nebraska