Synergistic Depth Sensing for Automated Surgical Robots
Legal Citation
Summary of the Inventive Concept
A novel system integrating multi-modal sensing, AI, IoT, blockchain, and new materials to enhance the accuracy and security of automated surgical robots.
Background and Problem Solved
The original patent addressed the need for accurate depth sensing in automated surgical robots. However, it had limitations in terms of data security, real-time monitoring, and personalized surgical planning. The new inventive concept solves these problems by synergistically combining the patented inventive concept with other distinct technologies.
Detailed Description of the Inventive Concept
The system comprises a computer vision module utilizing machine learning algorithms to detect and track fiducial markers on an object, a sensor fusion module integrating depth measurements from multiple imaging modalities, and a blockchain-based data storage module for secure and decentralized storage of surgical data. The system can also be integrated with AI-assisted surgical planning, IoT-enabled real-time monitoring, and 3D printing of customized surgical tools using new materials.
Novelty and Inventive Step
The new claims introduce novel synergistic combinations of technologies, including AI, IoT, blockchain, and new materials, which provide a significant improvement over the original patent. The inventive step lies in the integration of these technologies to create a more powerful and secure system for automated surgical robots.
Alternative Embodiments and Variations
Alternative embodiments could include the use of different machine learning algorithms, various blockchain protocols, or alternative imaging modalities. Variations could also include the integration of additional sensors or the use of different materials for 3D printing.
Potential Commercial Applications and Market
The inventive concept has significant commercial potential in the medical robotics industry, particularly in applications such as minimally invasive surgeries, robotic-assisted surgeries, and personalized medicine. The target market includes hospitals, medical research institutions, and medical device manufacturers.
CPC Classifications
| Section | Class | Group |
|---|---|---|
| A | A61 | A61B1/000094 |
| A | A61 | A61B1/00 |
| A | A61 | A61B1/000095 |
| A | A61 | A61B1/00193 |
| A | A61 | A61B90/06 |
| G | G06 | G06T7/521 |
| G | G06 | G06T7/557 |
| G | G06 | G06T7/593 |
| H | H04 | H04N13/239 |
| A | A61 | A61B2090/062 |
| A | A61 | A61B2090/363 |
| A | A61 | A61B2090/371 |
| A | A61 | A61B2090/3933 |
| A | A61 | A61B2090/3937 |
Section 103 Obviousness Analysis (PHOSITA)
Field of Art
Medical robotics, computer vision, surgical imaging systems, with expertise in multi-modal sensing, image processing, and robotic surgical technologies
Person of Ordinary Skill (PHOSITA) Profile
A skilled practitioner with advanced degrees in biomedical engineering, computer science, or robotics, possessing knowledge of medical imaging, machine learning, sensor fusion techniques, and surgical automation technologies
Obviousness Rationale
A person having ordinary skill in the art would recognize that the PTD's proposed variations represent predictable combinations of known techniques in medical robotics and computer vision. The source patent's foundational multi-modal depth sensing approach provides a clear technical framework that a skilled practitioner would naturally extend through integrating contemporary technologies like AI, blockchain, and IoT. The proposed synergistic combinations represent logical technological progressions that would be obvious to implement given the existing technical capabilities in surgical robotics.
Obvious Combinations & Variations
Original Patent Information
| Patent Number | US 11,857,153 |
|---|---|
| Title | Systems and methods for multi-modal sensing of depth in vision systems for automated surgical robots |
| Assignee(s) | ACTIV Surgical, Inc. |