Synergistic Navigation System for Airways
Legal Citation
Summary of the Inventive Concept
A novel system integrating machine learning, IoT, blockchain, and augmented reality to enhance navigation and visualization of airways for precise diagnosis and treatment of lung diseases.
Background and Problem Solved
The original patent, 'System and method for displaying an alignment CT', addressed the need for accurate visualization of a patient's lungs for diagnosis and surgical operations. However, it lacked the integration of advanced technologies to further improve navigation and treatment outcomes. The new inventive concept addresses this limitation by incorporating synergistic combinations of AI, IoT, blockchain, and new materials to create a more powerful and efficient system.
Detailed Description of the Inventive Concept
The Synergistic Navigation System for Airways comprises a catheter navigable within a patient's airways, a computing device operably coupled to the catheter, and various advanced technologies. The system generates a 3D model of the patient's airways from CT image data and uses machine learning algorithms to predict optimal navigation routes based on historical navigation data. IoT-enabled catheters provide real-time electromagnetic navigation data, which is processed using a blockchain-secured decentralized computing platform to generate a secure and transparent navigation log. The system also features augmented reality visualization techniques to display the 3D model with diseased regions highlighted. Additionally, neural networks predict navigation routes to targets based on the 3D model and real-time catheter position data, providing haptic feedback to the user. Digital twin simulations are used to predict catheter behavior in real-time, ensuring accurate and efficient navigation.
Novelty and Inventive Step
The new inventive concept introduces the integration of machine learning, IoT, blockchain, and augmented reality technologies to enhance navigation and visualization of airways, providing a significant improvement over the original patent. The synergistic combination of these technologies enables more accurate and efficient navigation, improved treatment outcomes, and enhanced patient safety.
Alternative Embodiments and Variations
Alternative embodiments of the Synergistic Navigation System for Airways could include the use of different machine learning algorithms, varying IoT-enabled catheter designs, or alternative blockchain platforms. Additionally, the system could be adapted for use in other medical specialties, such as cardiology or neurology, or integrated with other medical devices, such as surgical robots or imaging systems.
Potential Commercial Applications and Market
The Synergistic Navigation System for Airways has significant commercial potential in the medical device industry, particularly in the fields of pulmonology and cardiothoracic surgery. The system's ability to enhance navigation and visualization of airways could lead to improved treatment outcomes, reduced complications, and increased patient safety. The market for such a system is substantial, with potential applications in hospitals, clinics, and medical research institutions.
CPC Classifications
| Section | Class | Group |
|---|---|---|
| A | A61 | A61B34/20 |
| A | A61 | A61B34/25 |
| A | A61 | A61B90/37 |
| G | G06 | G06T15/00 |
| A | A61 | A61B1/018 |
| A | A61 | A61B1/2676 |
| A | A61 | A61B10/02 |
| A | A61 | A61B2017/00809 |
| A | A61 | A61B2034/107 |
| A | A61 | A61B2034/2051 |
| A | A61 | A61B2034/2055 |
| A | A61 | A61B2034/2061 |
| A | A61 | A61B2034/2065 |
| A | A61 | A61B2034/2068 |
| A | A61 | A61B2034/2072 |
| A | A61 | A61B2090/367 |
| A | A61 | A61B2090/3925 |
| A | A61 | A61M2025/0166 |
Section 103 Obviousness Analysis (PHOSITA)
Field of Art
Medical imaging and interventional navigation systems, specifically focusing on CT-guided catheter navigation and visualization techniques for pulmonary diagnostics and treatment. Requires expertise in medical imaging, computer vision, medical device design, and advanced visualization technologies
Person of Ordinary Skill (PHOSITA) Profile
A biomedical engineer or medical imaging specialist with advanced degrees in biomedical engineering, computer science, or medical technology. Possesses expertise in 3D medical imaging, machine learning, computer-assisted medical navigation, and medical device integration
Obviousness Rationale
A PHOSITA would recognize that the published technical disclosure represents predictable combinations of known medical navigation technologies with standard machine learning and visualization techniques. The core navigation methodology from the source patent provides a foundational framework that naturally suggests integrating advanced computational approaches like machine learning, IoT, and augmented reality to enhance diagnostic and navigational capabilities.
Obvious Combinations & Variations
Original Patent Information
| Patent Number | US 11,857,276 |
|---|---|
| Title | System and method for displaying an alignment CT |
| Assignee(s) | Covidien LP |