Personalized Tissue Ablation Platform with AI-Driven Real-Time Optimization
Legal Citation
Summary of the Inventive Concept
A next-generation tissue ablation system integrating deployable sensors, machine learning algorithms, and real-time data analysis to optimize thermal treatment outcomes and revolutionize the field of medical technology.
Background and Problem Solved
The original ablation probe with deployable sensors patent addressed the need for real-time tissue characteristic monitoring during thermal treatments. However, the limitations of this technology lie in its inability to adapt to changing tissue conditions and optimize treatment parameters in real-time. The new inventive concept solves this problem by incorporating AI-driven machine learning algorithms and advanced sensor arrays to enable personalized, adaptive, and optimized tissue ablation.
Detailed Description of the Inventive Concept
The Personalized Tissue Ablation Platform consists of an ablation probe with deployable sensors, a machine learning module, and a cloud-based data analytics platform. The deployable sensors provide real-time tissue characteristic data, which is fed into the machine learning module to predict optimal thermal treatment parameters. The machine learning module adjusts the thermal energy output in real-time based on the sensor data, ensuring optimal tissue treatment outcomes. The cloud-based platform enables remote monitoring and control of thermal ablation procedures, allowing for real-time analysis and adaptation to changing tissue conditions.
Novelty and Inventive Step
The new inventive concept introduces the use of machine learning algorithms and real-time data analysis to optimize thermal treatment outcomes, which is a significant departure from the original patent's static monitoring approach. The integration of AI-driven optimization and advanced sensor arrays enables a level of personalization and adaptability not previously possible in tissue ablation.
Alternative Embodiments and Variations
Alternative embodiments of the Personalized Tissue Ablation Platform could include the use of different machine learning algorithms, such as neural networks or decision trees, or the integration of additional sensing modalities, such as optical or electrical impedance tomography. Variations of the platform could also include the use of different thermal energy sources, such as high-intensity focused ultrasound or thermoelectric resistive heat.
Potential Commercial Applications and Market
The Personalized Tissue Ablation Platform has significant commercial potential in the medical technology industry, particularly in the areas of cancer treatment, cardiac arrhythmia treatment, and minimally invasive surgical procedures. The platform's ability to optimize thermal treatment outcomes and reduce procedure time could lead to increased adoption and market share in these industries.
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 interventional thermal ablation systems with integrated sensing and energy delivery for tissue treatment, requiring advanced knowledge of medical engineering, sensor technologies, and minimally invasive procedural techniques
Person of Ordinary Skill (PHOSITA) Profile
A biomedical engineer or medical device designer with expertise in thermal ablation technologies, sensor integration, control systems, and advanced medical instrumentation, holding advanced degrees in bioengineering or medical technology with 5-10 years of practical experience
Obviousness Rationale
A PHOSITA would recognize that integrating machine learning and adaptive control into existing thermal ablation probe technologies represents a predictable evolution of the source patent's monitoring capabilities. The fundamental structure of the ablation probe remains consistent, with the primary innovation being the addition of real-time data processing and algorithmic optimization. The technical elements of sensor deployment, thermal energy modulation, and tissue characteristic monitoring are directly extended through computational techniques that were emerging in medical device design during the relevant time period.
Obvious Combinations & Variations
Original Patent Information
| Patent Number | US 11,857,241 |
|---|---|
| Title | Ablation probe with deployable sensors |
| Assignee(s) | CPSI Holdings LLC |