Next-Generation AI-Assisted Endoscopic Navigation System
Legal Citation
Summary of the Inventive Concept
A revolutionary endoscopic navigation system that leverages artificial intelligence, computer vision, and machine learning to enable real-time, autonomous, and adaptive navigation, redefining the future of endoscopic procedures.
Background and Problem Solved
The original patent's swinging elevator design, while innovative, has limitations in terms of precision, flexibility, and adaptability. The new inventive concept addresses these limitations by integrating AI-driven technologies to enhance navigation, instrumentation, and procedural outcomes.
Detailed Description of the Inventive Concept
The next-generation endoscopic navigation system comprises a computer vision module that analyzes video feeds to detect and track anatomical features, an instrument guidance module that predicts optimal instrument trajectories, and a dynamically reconfigurable instrument elevator that can be reshaped in real-time to accommodate changing procedural requirements. The system utilizes artificial muscle actuators, advanced sensor feedback, and machine learning algorithms to identify and adapt to changing anatomical conditions, generating real-time instructions for the robotic instrument elevator. The modular endoscopy platform allows for seamless adaptation to diverse clinical applications, and the virtual reality-based training simulator provides immersive, personalized training experiences for clinicians.
Novelty and Inventive Step
The new claims introduce a paradigm shift in endoscopic navigation by integrating AI-driven technologies, enabling real-time autonomy, adaptability, and precision. The inventive concept's novelty lies in the combination of computer vision, machine learning, and dynamically reconfigurable instrumentation, which overcomes the limitations of the original patent's mechanical design.
Alternative Embodiments and Variations
Alternative embodiments may include variations in the computer vision module's architecture, the use of different machine learning algorithms, or the integration of additional sensors and actuators to enhance system performance. The modular endoscopy platform could be expanded to accommodate a broader range of clinical applications, and the virtual reality-based training simulator could be adapted for use in other medical specialties.
Potential Commercial Applications and Market
The next-generation AI-assisted endoscopic navigation system has significant commercial potential in the medical device industry, with applications in gastrointestinal, pulmonary, and other specialties. The system's ability to enhance procedural outcomes, reduce complications, and improve clinician training will drive market demand and adoption.
CPC Classifications
| Section | Class | Group |
|---|---|---|
| A | A61 | A61B1/018 |
| A | A61 | A61B1/00098 |
| A | A61 | A61B8/12 |
| G | G02 | G02B23/24 |
| A | A61 | A61B1/00131 |
Original Patent Information
| Patent Number | US 11,857,163 |
|---|---|
| Title | Endoscope having swinging elevator |
| Assignee(s) | HOYA CORPORATION |