Synergistic Navigation System Integrating AI, IoT, Blockchain, and Machine Learning
Legal Citation
Summary of the Inventive Concept
The present inventive concept discloses a novel navigation system that synergistically combines AI, IoT, blockchain, and machine learning technologies to provide a more accurate, secure, and efficient navigation experience during medical procedures.
Background and Problem Solved
The original patent (System and method for navigation) has limitations in terms of data security, accuracy, and real-time tracking. The present inventive concept addresses these limitations by integrating distinct technologies to create a more powerful system.
Detailed Description of the Inventive Concept
The inventive concept comprises a sensor module generating navigation data, which is securely stored and verified by a blockchain-enabled data storage unit. The navigation signal is generated using a machine learning-based algorithm and transmitted to a receiver unit. The system further includes an IoT-enabled communication module for transmitting tracking data to a remote monitoring system. Additionally, an AI-powered analytics unit analyzes navigation data to predict potential navigation errors and provide corrective feedback. The system also employs a deep learning-based algorithm for registering a subject space to an image space.
Novelty and Inventive Step
The new claims introduce the synergistic combination of AI, IoT, blockchain, and machine learning technologies, which provides a non-obvious and novel solution to the limitations of the original patent.
Alternative Embodiments and Variations
Alternative embodiments may include integrating the inventive concept with other technologies such as augmented reality or robotics. Variations may include adapting the system for use in non-medical applications, such as navigation in autonomous vehicles or drones.
Potential Commercial Applications and Market
The inventive concept has significant commercial potential in the medical device industry, particularly in the fields of surgical navigation and robotic-assisted surgery. The system's ability to provide accurate and secure navigation data makes it an attractive solution for medical professionals and hospitals.
CPC Classifications
| Section | Class | Group |
|---|---|---|
| A | A61 | A61B34/20 |
| A | A61 | A61B90/37 |
| A | A61 | A61B2034/2051 |
| A | A61 | A61B2034/2055 |
| A | A61 | A61B2560/0223 |
Section 103 Obviousness Analysis (PHOSITA)
Field of Art
Medical navigation systems, specifically instrument tracking and signal processing technologies for surgical and medical procedural guidance, involving signal generation, transmission, and pose tracking
Person of Ordinary Skill (PHOSITA) Profile
A biomedical engineer or medical device technologist with expertise in signal processing, sensor integration, wireless communication protocols, and medical instrumentation, holding advanced degrees in electrical engineering or biomedical engineering with 3-5 years of industry experience
Obviousness Rationale
A PHOSITA would recognize that integrating emerging technologies like AI, blockchain, and machine learning into existing navigation system architectures represents a predictable evolution of the source patent's core signal transmission and tracking methodologies. The fundamental navigation signal generation and tracking principles remain consistent, with the PTD merely introducing contemporary computational and data management techniques. These technological extensions would be considered routine optimization and integration strategies within the medical navigation domain.
Obvious Combinations & Variations
Original Patent Information
| Patent Number | US 11,857,267 |
|---|---|
| Title | System and method for navigation |
| Assignee(s) | Medtronic Navigation, Inc. |