Personalized Tissue Ablation Platform with AI-Driven Real-Time Optimization

Publication ID: 24-11857241_0005_PTD
Published: November 07, 2025
Category:Future Evolutions & Paradigm Shifts

Legal Citation

pr1or.art Inc., “Personalized Tissue Ablation Platform with AI-Driven Real-Time Optimization,” Published Technical Disclosure No. 24-11857241_0005_PTD, Published November 07, 2025, available at https://archive.pr1or.art/24-11857241_0005_PTD
This technical disclosure describes improvements that would be readily apparent to a Person Having Ordinary Skill In The Art (PHOSITA) when considered in combination with the foundational architecture disclosed in U.S. Patent No. 11,857,241.

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

SectionClassGroup
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

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

Source Patent Element
Ablation probe with deployable sensors for monitoring tissue characteristics
PTD Variation
Adding machine learning algorithms to dynamically interpret sensor data and adjust thermal energy output
Obviousness Reasoning
Applying computational intelligence to sensor data is a known technique in medical device optimization, representing a predictable technological progression for improving treatment precision
Source Patent Element
Multiple thermal energy sources including RF, cryogenic, and laser technologies
PTD Variation
Implementing AI-driven switching and modulation between different thermal energy delivery modes
Obviousness Reasoning
Adaptive energy delivery represents a logical extension of existing multi-modal ablation technologies, with machine learning providing a sophisticated control mechanism
Source Patent Element
Tissue characteristic monitoring including temperature, pressure, and electrical impedance
PTD Variation
Cloud-based remote monitoring platform for aggregating and analyzing real-time procedural data
Obviousness Reasoning
Networked data collection and analysis is a foreseeable advancement in medical device technology, leveraging existing sensor and communication infrastructures
Source Patent Element
Longitudinal probe body with integrated sensing and energy delivery capabilities
PTD Variation
Modular, interchangeable sensor arrays allowing dynamic reconfiguration during procedures
Obviousness Reasoning
Designing flexible, adaptable medical instrumentation is a standard approach to improving device versatility and clinical utility
Source Patent Element
Thermal ablation method with probe-based tissue interaction
PTD Variation
Neural network-based predictive control system for anticipating and responding to tissue changes
Obviousness Reasoning
Applying machine learning to medical device control represents an incremental technological improvement using well-established computational techniques
35 U.S.C. § 103 Summary: Based on the teachings of US Patent 11857241 and the disclosed technological variations, a person having ordinary skill in the art would find the claimed innovations of the Personalized Tissue Ablation Platform obvious and non-patentable, as the technical extensions represent predictable advancements in medical device control systems that would be readily conceived by a skilled practitioner in the field of interventional medical technologies.

Original Patent Information

Patent NumberUS 11,857,241
TitleAblation probe with deployable sensors
Assignee(s)CPSI Holdings LLC