Intelligent Breast Cancer Diagnosis System using Synergistic Combinations of DOT, AI, IoT, and Blockchain
Legal Citation
Summary of the Inventive Concept
A novel system integrating diffuse optical tomography (DOT) with AI, IoT, and blockchain technologies to provide accurate and personalized breast cancer diagnosis, risk assessment, and monitoring.
Background and Problem Solved
The original patent disclosed systems and methods for optimizing functional images of a lesion region using guided diffuse optical tomography. However, the existing technology has limitations in terms of accuracy, data security, and personalized diagnosis. The new inventive concept addresses these limitations by synergistically combining DOT with AI, IoT, and blockchain technologies to provide a more comprehensive and accurate breast cancer diagnosis system.
Detailed Description of the Inventive Concept
The system comprises a DOT device, an AI-powered processor, an IoT-enabled data transmission module, and a blockchain-based data storage system. The DOT device acquires lesion functional data and reference functional data from a healthy tissue region. The AI-powered processor analyzes the data using machine learning algorithms to detect vasculature distribution and assess tumor malignancy. The IoT-enabled module transmits the data to a cloud-based analytics platform, and the blockchain-based system securely stores the data. The system can be used for personalized breast cancer risk assessment, monitoring, and diagnosis. The AI-powered analytics engine can also detect anomalies indicative of breast cancer and generate a report.
Novelty and Inventive Step
The new inventive concept is novel and non-obvious in its synergistic combination of DOT, AI, IoT, and blockchain technologies to provide a more accurate and personalized breast cancer diagnosis system. The use of AI-powered processors, IoT-enabled data transmission, and blockchain-based data storage provides a unique and innovative approach to breast cancer diagnosis and monitoring.
Alternative Embodiments and Variations
Alternative embodiments of the system could include the use of different AI algorithms, IoT protocols, or blockchain architectures. The system could also be adapted for use in other medical imaging applications, such as detecting cardiovascular disease or monitoring diabetes.
Potential Commercial Applications and Market
The intelligent breast cancer diagnosis system has significant commercial potential in the medical imaging and healthcare industries. The system could be marketed to hospitals, clinics, and medical research institutions, and could also be used in personalized medicine and preventive care applications.
Section 103 Obviousness Analysis (PHOSITA)
Field of Art
Medical imaging technologies, specifically diffuse optical tomography (DOT) for breast cancer diagnostics, requiring advanced signal processing, machine learning, and medical imaging expertise
Person of Ordinary Skill (PHOSITA) Profile
A professional with a PhD or MS in biomedical engineering, expertise in medical imaging, signal processing algorithms, machine learning techniques, and knowledge of medical diagnostic technologies
Obviousness Rationale
A PHOSITA would recognize that integrating AI, IoT, and blockchain technologies with existing DOT imaging techniques represents a predictable technological evolution. The core DOT imaging methodology remains consistent with the source patent, while the additional technologies provide incremental improvements in data analysis, transmission, and storage. The combination of known technologies to achieve enhanced diagnostic capabilities would be considered an obvious extension of existing medical imaging approaches.
Obvious Combinations & Variations
Original Patent Information
| Patent Number | US 11,857,289 |
|---|---|
| Title | Systems and methods of optimizing functional images of a lesion region using guided diffuse optical tomography |
| Assignee(s) | Washington University |