AI-Integrated Systems for Enhanced Tissue Specimen Removal
Legal Citation
Summary of the Inventive Concept
The present inventive concept integrates AI, IoT, blockchain, and advanced materials to create a more efficient, secure, and optimized system for large tissue specimen removal in minimally-invasive surgical procedures.
Background and Problem Solved
The original patent's systems and methods for large tissue specimen removal, while effective, have limitations in terms of tissue fragmentation detection, specimen handling and storage tracking, and workflow optimization. The new inventive concept addresses these limitations by incorporating advanced technologies to provide a more comprehensive and efficient solution.
Detailed Description of the Inventive Concept
The AI-integrated system comprises an access cannula with a blockchain-secured data logging module to track specimen handling and storage, and a containment bag with an integrated AI-powered sensor to detect tissue fragmentation and optimize specimen breakdown. The system also utilizes IoT-enabled surgical instruments and a novel, nanomaterial-based containment bag to facilitate efficient and secure specimen retrieval. Additionally, a machine learning-based predictive analytics module forecasts tissue specimen fragmentation and optimizes surgical workflow.
Novelty and Inventive Step
The integration of AI, IoT, blockchain, and advanced materials in a single system for large tissue specimen removal, as well as the specific combinations and implementations described in the new claims, constitute the novel and non-obvious aspects of the inventive concept.
Alternative Embodiments and Variations
Alternative embodiments may include the use of different AI algorithms, IoT protocols, or blockchain platforms. Variations may involve the incorporation of additional sensors, such as temperature or pressure sensors, to further enhance the system's functionality.
Potential Commercial Applications and Market
The AI-integrated system for enhanced tissue specimen removal has significant commercial potential in the medical device industry, particularly in the areas of minimally-invasive surgical procedures, tissue specimen retrieval, and surgical workflow optimization.
CPC Classifications
| Section | Class | Group |
|---|---|---|
| A | A61 | A61B17/3421 |
| A | A61 | A61B17/00234 |
| A | A61 | A61B2017/00287 |
| A | A61 | A61B2017/320024 |
| A | A61 | A61B2017/320775 |
| A | A61 | A61B2017/3484 |
| A | A61 | A61B2017/3486 |
Section 103 Obviousness Analysis (PHOSITA)
Field of Art
Minimally invasive surgical technologies, specifically medical devices for tissue specimen removal and handling, requiring expertise in medical device design, surgical instrumentation, and advanced materials engineering
Person of Ordinary Skill (PHOSITA) Profile
A biomedical engineer or medical device designer with advanced degrees, experience in surgical instrument development, knowledge of minimally invasive surgical techniques, and familiarity with emerging technologies like AI and IoT in medical applications
Obviousness Rationale
A PHOSITA would recognize that integrating digital technologies like AI, blockchain, and IoT into existing surgical specimen removal systems represents a predictable extension of known medical device innovation strategies. The core mechanical functionality of the source patent's tissue specimen removal system provides a clear technological foundation for incorporating advanced digital monitoring and optimization technologies. The proposed variations represent incremental improvements using well-established interdisciplinary engineering approaches.
Obvious Combinations & Variations
Original Patent Information
| Patent Number | US 11,857,216 |
|---|---|
| Title | Systems and methods for large tissue specimen removal |
| Assignee(s) | Covidien LP |