Neural Network-Enhanced Medical Observation System
Legal Citation
Summary of the Inventive Concept
A next-generation medical observation system that leverages real-time machine learning algorithms, artificial intelligence, and decentralized architectures to revolutionize image quality, disease diagnosis, and data management in medical endoscopy.
Background and Problem Solved
The original patent disclosed a signal processing apparatus for relaying communication of control signals between a controller and multiple processing circuits in a medical endoscope system. However, this approach has limitations in terms of image quality, processing speed, and data security. The new inventive concept addresses these limitations by introducing neural network-based image processing, high-speed communication protocols, and decentralized architectures to enable real-time collaboration, predictive analytics, and secure data transmission.
Detailed Description of the Inventive Concept
The neural network-enhanced medical observation system comprises a modular architecture with interchangeable processing circuits, a cloud-based data storage system, and a decentralized control apparatus with distributed processing circuits. The system utilizes real-time machine learning algorithms to enhance image quality and provide predictive analytics for disease diagnosis. A high-speed communication protocol enables fast transmission of control signals between the controller and processing circuits. The decentralized architecture ensures secure data transmission and enables real-time collaboration between multiple medical devices and specialists. The system also incorporates a blockchain-based data encryption system for secure data management.
Novelty and Inventive Step
The new inventive concept introduces the use of neural networks, artificial intelligence, and decentralized architectures in medical endoscopy, which are not taught in the original patent. The combination of these technologies enables real-time image processing, predictive analytics, and secure data transmission, which are not achievable with the original patent's signal processing apparatus.
Alternative Embodiments and Variations
Alternative embodiments of the inventive concept could include the use of swarm intelligence, edge computing, or 5G networks to further enhance image quality, processing speed, and data security. Variations of the decentralized architecture could include the use of different blockchain protocols or distributed ledger technologies.
Potential Commercial Applications and Market
The neural network-enhanced medical observation system has significant commercial potential in the medical imaging and diagnostics market, particularly in the areas of endoscopy, gastroenterology, and oncology. The system's ability to provide real-time image processing, predictive analytics, and secure data transmission makes it an attractive solution for hospitals, clinics, and medical research institutions.
CPC Classifications
| Section | Class | Group |
|---|---|---|
| A | A61 | A61B1/00006 |
| A | A61 | A61B1/0002 |
| A | A61 | A61B1/00018 |
Section 103 Obviousness Analysis (PHOSITA)
Field of Art
Medical imaging systems and signal processing apparatus, specifically endoscopic technologies with complex communication and processing architectures, requiring expertise in electrical engineering, medical device design, and signal processing
Person of Ordinary Skill (PHOSITA) Profile
A skilled practitioner with advanced degree in biomedical engineering or electrical engineering, familiar with medical device communication protocols, signal processing techniques, and modular system design, with 3-5 years professional experience in medical imaging technologies
Obviousness Rationale
A PHOSITA would recognize that the neural network and decentralized architecture variations represent predictable technological extensions of the source patent's signal processing framework. The core communication and processing circuit concepts remain fundamentally consistent, with the PTD introducing well-known machine learning and distributed computing paradigms. The technical modifications represent incremental improvements using standard engineering design choices within the medical imaging domain.
Obvious Combinations & Variations
Original Patent Information
| Patent Number | US 11,857,150 |
|---|---|
| Title | Signal processing apparatus |
| Assignee(s) | SONY OLYMPUS MEDICAL SOLUTIONS INC. |