AI-Enhanced Electrosurgical System for Precise Tissue Dissection
Legal Citation
Summary of the Inventive Concept
The present inventive concept discloses a next-generation electrosurgical system that integrates artificial intelligence, machine learning, and advanced sensing technologies to enable real-time tissue analysis, adaptive energy delivery, and optimized coagulation and dissection.
Background and Problem Solved
The original patent relates to electrosurgical systems and methods, specifically addressing the limitations of traditional electrosurgical devices in controlling traumatic and surgical blood loss. However, these devices lack real-time tissue analysis, adaptive energy delivery, and optimized coagulation and dissection capabilities. The new inventive concept addresses these limitations by introducing AI-assisted navigation, dynamically adjustable geometry, and real-time monitoring of tissue impedance and temperature.
Detailed Description of the Inventive Concept
The AI-enhanced electrosurgical system comprises a housing with an integrated AI-assisted navigation module, a blade with dynamically adjustable geometry, and a modular handpiece with a detachable and sterilizable blade module and a reusable ergonomic grip module. The system incorporates machine learning algorithms to predict and adapt to tissue properties in real-time, enabling precise coagulation and dissection. The modular design allows for easy customization and upgrading of the system.
Novelty and Inventive Step
The new inventive concept introduces a paradigm shift in electrosurgical systems by integrating AI, machine learning, and advanced sensing technologies, which enables real-time tissue analysis, adaptive energy delivery, and optimized coagulation and dissection. This is a significant departure from traditional electrosurgical devices, which lack these capabilities.
Alternative Embodiments and Variations
Alternative embodiments of the inventive concept could include variations in the AI-assisted navigation module, such as incorporating additional sensors or using different machine learning algorithms. The modular handpiece could be modified to accommodate different types of blades or sensors. Additionally, the system could be adapted for use in various medical specialties, such as neurosurgery or orthopedic surgery.
Potential Commercial Applications and Market
The AI-enhanced electrosurgical system has significant commercial potential in the medical device industry, particularly in the areas of minimally invasive surgery, laparoscopic surgery, and robotic-assisted surgery. The system's ability to enable precise coagulation and dissection could lead to improved patient outcomes, reduced recovery times, and increased adoption in various medical specialties.
CPC Classifications
| Section | Class | Group |
|---|---|---|
| A | A61 | A61B18/042 |
| A | A61 | A61B17/3211 |
| A | A61 | A61B18/1206 |
| A | A61 | A61B2018/00178 |
| A | A61 | A61B2018/00589 |
| A | A61 | A61B2018/00595 |
| A | A61 | A61B2018/00601 |
| A | A61 | A61B2018/1412 |
Section 103 Obviousness Analysis (PHOSITA)
Field of Art
Electrosurgical systems and medical device technologies, specifically focused on surgical instruments for tissue manipulation, coagulation, and minimally invasive procedures. Requires expertise in biomedical engineering, electrical engineering, and medical device design with advanced knowledge of surgical instrumentation and energy-based tissue interaction technologies.
Person of Ordinary Skill (PHOSITA) Profile
A biomedical engineer or medical device design professional with advanced degrees (MS/PhD), 5-10 years of experience in surgical technology development, proficient in medical device design, sensor integration, energy delivery systems, and understanding of surgical procedural requirements
Obviousness Rationale
A PHOSITA would recognize that integrating AI and machine learning into existing electrosurgical systems represents a predictable technological evolution, leveraging known sensor and computational technologies to enhance existing surgical instrument capabilities. The modular design and adaptive energy delivery concepts are natural extensions of existing electrosurgical system architectures, representing incremental improvements using standard engineering design approaches. The proposed variations demonstrate systematic technological progression by applying contemporary computational techniques to established surgical instrument technologies.
Obvious Combinations & Variations
Original Patent Information
| Patent Number | US 11,857,242 |
|---|---|
| Title | Attachment for electrosurgical system |
| Assignee(s) | U.S. Patent Innovations, LLC |