Neuro-AI Guided Computer-Assisted Surgery
Legal Citation
Summary of the Inventive Concept
A next-generation computer-assisted surgery system that leverages neural networks, machine learning, and virtual reality to enable real-time predictive analytics, autonomous surgical planning, and personalized feedback for optimal surgical outcomes.
Background and Problem Solved
The original patent, 'Method and apparatus for computer aided surgery', addressed the need for computer guidance during surgical procedures. However, it relied on manual alignment jigs and lacked real-time adaptability. The new inventive concept solves these limitations by integrating AI-driven predictive analytics, autonomous planning, and virtual reality interfaces to revolutionize the surgical experience.
Detailed Description of the Inventive Concept
The Neuro-AI Guided Computer-Assisted Surgery system consists of a neural network-based predictive analytics module, a machine learning algorithm for autonomous surgical planning, and a virtual reality interface for real-time visualization and interaction. The predictive analytics module forecasts optimal surgical trajectories and generates real-time feedback to the surgeon, leveraging a database of historical surgical procedures and patient outcomes. The autonomous planning algorithm identifies the optimal surgical approach based on patient-specific data and generates a customized surgical plan executable by a robotic surgical instrument. The virtual reality interface integrates real-time tracking and navigation data to enable precise surgical guidance.
Novelty and Inventive Step
The new inventive concept introduces the novel combination of AI-driven predictive analytics, autonomous planning, and virtual reality interfaces, which is not obvious from the original patent. Specifically, the integration of neural networks and machine learning algorithms with real-time surgical data and virtual reality visualization enables a paradigm shift in computer-assisted surgery.
Alternative Embodiments and Variations
Alternative embodiments of the inventive concept could include variations in the AI algorithms used, such as incorporating reinforcement learning or transfer learning. Additionally, the virtual reality interface could be adapted for use with different types of surgical instruments or procedures.
Potential Commercial Applications and Market
The Neuro-AI Guided Computer-Assisted Surgery system has significant commercial potential in the medical technology industry, particularly in the areas of orthopedic, neurosurgical, and cardiovascular procedures. The system's ability to improve surgical outcomes, reduce complications, and enhance the overall surgical experience could lead to widespread adoption and market growth.
CPC Classifications
| Section | Class | Group |
|---|---|---|
| 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 |
Original Patent Information
| Patent Number | US 11,857,265 |
|---|---|
| Title | Method and apparatus for computer aided surgery |
| Assignee(s) | Board of Regents of the University of Nebraska |