Synergistic Thermal Ablation System with AI-Powered Tissue Characteristic Prediction
Legal Citation
Summary of the Inventive Concept
A novel thermal ablation system integrating deployable sensors, machine learning-based algorithms, and IoT/blockchain technologies to provide real-time tissue characteristic prediction, enabling more accurate and personalized thermal ablation procedures.
Background and Problem Solved
The original patent's ablation probe with deployable sensors addressed the need for real-time tissue characteristic monitoring during thermal ablation procedures. However, it had limitations in terms of data analysis and prediction capabilities. The new inventive concept overcomes these limitations by incorporating AI-powered algorithms, IoT, and blockchain technologies to provide more accurate and personalized thermal ablation procedures.
Detailed Description of the Inventive Concept
The synergistic thermal ablation system consists of a thermal ablation probe with integrated deployable sensors, a machine learning-based algorithm for predicting tissue characteristics based on real-time sensor data, and a communication module for transmitting the predicted tissue characteristics to a remote monitoring station. The system can be integrated with IoT devices and a blockchain-based data storage system to ensure secure and transparent data transmission and analysis. The decentralized AI algorithm can be executed on a network of IoT devices, enabling real-time monitoring and adaptation to changing tissue conditions during the procedure.
Novelty and Inventive Step
The new claims introduce the novel combination of deployable sensors, machine learning-based algorithms, IoT, and blockchain technologies to provide real-time tissue characteristic prediction, which is not obvious from the original patent. The inventive step lies in the integration of these distinct technologies to create a more powerful and personalized thermal ablation system.
Alternative Embodiments and Variations
Alternative embodiments of the inventive concept could include the use of different types of sensors, such as optical or acoustic sensors, or the integration of other AI algorithms, such as deep learning-based approaches. Additionally, the system could be adapted for use in various medical specialties, such as cardiology or oncology.
Potential Commercial Applications and Market
The synergistic thermal ablation system has significant commercial potential in the medical device industry, particularly in the areas of cardiology, oncology, and neurology. The system's ability to provide real-time tissue characteristic prediction and personalized thermal ablation procedures could lead to improved patient outcomes and reduced healthcare costs.
CPC Classifications
| Section | Class | Group |
|---|---|---|
| A | A61 | A61B18/02 |
| A | A61 | A61B18/1477 |
| A | A61 | A61B2017/00106 |
| A | A61 | A61B2018/00577 |
| A | A61 | A61B2018/00773 |
| A | A61 | A61B2018/00797 |
| A | A61 | A61B2018/00875 |
| A | A61 | A61B2018/0262 |
| A | A61 | A61B2018/0293 |
Section 103 Obviousness Analysis (PHOSITA)
Field of Art
Medical device technology, specifically thermal ablation systems with sensor integration for tissue monitoring and treatment, requiring advanced knowledge of medical engineering, sensor technologies, machine learning, and minimally invasive medical procedures
Person of Ordinary Skill (PHOSITA) Profile
A biomedical engineer with expertise in medical device design, sensor integration, thermal energy delivery systems, and emerging computational technologies, holding advanced degrees in bioengineering or medical technology with 3-5 years of specialized experience
Obviousness Rationale
A PHOSITA would recognize that integrating machine learning, IoT, and blockchain technologies with existing thermal ablation probe designs represents a predictable technological evolution. The source patent's foundational work on deployable sensors and tissue characteristic monitoring provides a clear technical framework for extending the system's capabilities through computational intelligence. The proposed variations represent incremental improvements using known techniques in sensor integration, data analysis, and medical device communication technologies.
Obvious Combinations & Variations
Original Patent Information
| Patent Number | US 11,857,241 |
|---|---|
| Title | Ablation probe with deployable sensors |
| Assignee(s) | CPSI Holdings LLC |