AI-Driven Robotic-Assisted Surgical Systems with Enhanced Tissue Sealing and Real-Time Monitoring
Legal Citation
Summary of the Inventive Concept
The present inventive concept integrates AI, IoT, blockchain, and nanomaterial technologies with the patented articulation assemblies for surgical instruments to create a more powerful and effective system for robotic-assisted surgical procedures, enhancing tissue sealing, reducing tissue damage, and providing real-time monitoring and predictive analytics for improved patient outcomes.
Background and Problem Solved
The original patent addressed the limitations of traditional surgical stapling instruments, providing a novel wrist assembly for articulating an end effector. However, the existing solution lacks integration with advanced technologies, limiting its potential for optimal instrument movement, tissue interaction, and real-time monitoring. The new inventive concept solves this problem by combining the patented articulation assemblies with AI-driven control modules, IoT-enabled sensors, blockchain-secured data repositories, and nanomaterial-coated end effectors to create a more comprehensive and effective system.
Detailed Description of the Inventive Concept
The AI-driven control module optimizes instrument movement and tissue interaction based on real-time data from sensors and machine learning algorithms, ensuring precise and effective tissue sealing. The IoT-enabled sensors provide real-time feedback to a blockchain-secured data repository, allowing for secure and transparent data storage and analysis. The nanomaterial-coated end effector enhances tissue sealing and reduces tissue damage. The system also includes a machine learning-based analytics module for real-time monitoring of surgical procedures, identifying trends and patterns in procedure data and providing recommendations for improved outcomes.
Novelty and Inventive Step
The new claims introduce the synergistic combination of AI, IoT, blockchain, and nanomaterial technologies with the patented articulation assemblies, providing a non-obvious and innovative solution for robotic-assisted surgical procedures. The integration of these distinct technologies enables a more powerful and effective system that surpasses the capabilities of the original patent.
Alternative Embodiments and Variations
Alternative embodiments of the inventive concept could include varying the type and configuration of sensors, using different machine learning algorithms, or incorporating additional advanced technologies such as augmented reality or 5G connectivity. Variations could also include adapting the system for use in different surgical specialties or integrating with other medical devices.
Potential Commercial Applications and Market
The inventive concept has significant commercial potential in the medical device industry, particularly in the areas of robotic-assisted surgery, surgical stapling, and tissue sealing. The system's ability to enhance tissue sealing, reduce tissue damage, and provide real-time monitoring and predictive analytics makes it an attractive solution for hospitals, surgical centers, and medical professionals seeking to improve patient outcomes and reduce healthcare costs.
CPC Classifications
| Section | Class | Group |
|---|---|---|
| A | A61 | A61B17/07207 |
| A | A61 | A61B34/30 |
| A | A61 | A61B2017/00367 |
| A | A61 | A61B2017/00477 |
| A | A61 | A61B2017/07278 |
| A | A61 | A61B2034/306 |
Section 103 Obviousness Analysis (PHOSITA)
Field of Art
Robotic surgical systems and medical instrument design, focusing on articulation assemblies, tissue sealing technologies, and minimally invasive surgical instrumentation
Person of Ordinary Skill (PHOSITA) Profile
A biomedical engineer or medical device designer with expertise in robotic surgical technologies, advanced materials, sensor integration, and control systems, holding advanced degrees in bioengineering or mechanical engineering with 5-10 years of experience in medical device innovation
Obviousness Rationale
A PHOSITA would recognize that integrating AI, IoT, and machine learning technologies with existing surgical instrument articulation systems represents a predictable extension of known technological convergence in medical device design. The source patent's focus on precise instrument articulation naturally suggests opportunities for enhanced control and monitoring through advanced computational technologies. The proposed variations represent incremental improvements that leverage existing technological capabilities in a manner consistent with ongoing medical device innovation trends.
Obvious Combinations & Variations
Original Patent Information
| Patent Number | US 11,857,188 |
|---|---|
| Title | Articulation assemblies for surgical instruments |
| Assignee(s) | INTUITIVE SURGICAL OPERATIONS, INC. |