Advanced Tissue Ablation and Assessment System with Real-time Analytics

Publication ID: 24-11857253_0010_PTD
Published: November 07, 2025
Category:Future Evolutions & Paradigm Shifts

Legal Citation

pr1or.art Inc., “Advanced Tissue Ablation and Assessment System with Real-time Analytics,” Published Technical Disclosure No. 24-11857253_0010_PTD, Published November 07, 2025, available at https://archive.pr1or.art/24-11857253_0010_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. 11,857,253.

Summary of the Inventive Concept

A next-generation tissue ablation system integrating real-time analytics, machine learning, and multi-modal imaging to optimize lesion progression and tissue-electrode contact during ablation procedures, enabling personalized medicine and paradigm-shifting advancements in medical treatment.

Background and Problem Solved

The original patent disclosed a system for tissue ablation and assessment, but it had limitations in real-time monitoring and optimization. The new inventive concept addresses these limitations by introducing advanced analytics, machine learning, and imaging modalities to provide real-time feedback on lesion progression and tissue-electrode contact, enabling more effective and personalized ablation treatments.

Detailed Description of the Inventive Concept

The advanced tissue ablation system comprises a machine learning model trained on a dataset of S parameter measurements and corresponding lesion sizes, a processing unit configured to receive S parameter measurements and output a predicted lesion size, and an RF ablation catheter with an antenna electrode connected to a vector network analyzer. The system transmits assessment signals having frequencies of at least 1 MHz to biological tissue, receives reflected assessment signals, and analyzes them to determine tissue-electrode contact and lesion progression. The system adjusts the ablation energy delivery in real-time based on the analysis, providing optimal ablation parameters for personalized medicine. Additionally, the system integrates with imaging modalities such as MRI or CT to provide real-time feedback on lesion progression and tissue-electrode contact.

Novelty and Inventive Step

The new claims introduce the novel concept of integrating machine learning, real-time analytics, and multi-modal imaging into a tissue ablation system, enabling personalized medicine and real-time optimization of ablation procedures. The inventive step lies in the combination of these advanced technologies to provide a paradigm-shifting approach to tissue ablation and assessment.

Alternative Embodiments and Variations

Alternative embodiments may include the use of different machine learning algorithms, varying antenna electrode designs, or integration with other imaging modalities such as ultrasound or optical coherence tomography. Variations may include the application of the inventive concept to different medical treatments, such as cancer therapy or cardiovascular procedures.

Potential Commercial Applications and Market

The advanced tissue ablation system has significant commercial potential in the medical device industry, particularly in the areas of oncology, cardiology, and neurology. The system's ability to provide personalized medicine and real-time optimization of ablation procedures can revolutionize the treatment of various diseases and conditions, offering a significant market opportunity.

CPC Classifications

SectionClassGroup
A A61 A61B18/1815
A A61 A61B5/0093
A A61 A61B5/05
A A61 A61B5/0507
A A61 A61B5/0538
A A61 A61B18/1492
A A61 A61B2017/00026
A A61 A61B2017/00039
A A61 A61B2017/00084
A A61 A61B2017/00106
A A61 A61B2018/00023
A A61 A61B2018/00029
A A61 A61B2018/00351
A A61 A61B2018/00577
A A61 A61B2018/00636
A A61 A61B2018/00702
A A61 A61B2018/00773
A A61 A61B2018/00785
A A61 A61B2018/00791
A A61 A61B2018/00827
A A61 A61B2018/00875
A A61 A61B2018/1435
A A61 A61B2018/183
A A61 A61B2018/1823
A A61 A61B2018/1838
A A61 A61B2018/1846
A A61 A61B2018/1853
A A61 A61B2018/1861
A A61 A61B2018/1892
A A61 A61B2090/065
A A61 A61B2218/002
A A61 A61B2576/023

Field of Art

Medical device technologies for tissue ablation, diagnostic imaging, and biomedical signal processing, with expertise in RF/microwave antenna design, signal analysis, and medical intervention techniques

Person of Ordinary Skill (PHOSITA) Profile

A biomedical engineer or medical device researcher with advanced degrees in electrical engineering or biomedical engineering, experienced in medical device design, signal processing, and interventional medical technologies, familiar with vector network analyzers, RF ablation techniques, and advanced signal analysis methods

Obviousness Rationale

A PHOSITA would recognize that the PTD represents a predictable extension of the source patent's tissue ablation system by integrating machine learning and real-time analytics as a natural progression of existing signal assessment technologies. The core technical elements of RF signal transmission, tissue interaction, and assessment remain fundamentally consistent with the source patent, with the PTD introducing computational and analytical enhancements that would be considered routine optimization by a skilled practitioner.

Obvious Combinations & Variations

Source Patent Element
Antenna configured to transmit and receive assessment signals having frequencies of at least 1 MHz
PTD Variation
Integration of machine learning model to analyze S parameter measurements from assessment signals
Obviousness Reasoning
Applying computational analysis to existing signal assessment techniques represents a predictable technological advancement using known signal processing techniques
Source Patent Element
Tissue assessment system with electrical signal transmission
PTD Variation
Real-time energy delivery adjustment based on signal analysis and machine learning predictions
Obviousness Reasoning
Dynamic feedback control is a standard engineering approach for optimizing medical intervention parameters, representing an obvious design improvement
Source Patent Element
RF antenna with direct electrical contact to biological tissue
PTD Variation
Multi-modal imaging integration for concurrent lesion progression tracking
Obviousness Reasoning
Combining multiple diagnostic modalities is a well-established technique in medical device design, representing a logical extension of existing assessment methodologies
Source Patent Element
Assessment signals transmitted at specific frequency ranges
PTD Variation
Personalized ablation parameter generation using patient-specific tissue property database
Obviousness Reasoning
Customizing medical interventions based on individual patient characteristics is a standard approach in precision medicine, representing an obvious technological progression
Source Patent Element
Tissue ablation system with signal transmission capabilities
PTD Variation
Machine learning model trained on S parameter measurements to predict lesion sizes
Obviousness Reasoning
Application of statistical learning techniques to medical signal data represents a predictable technological enhancement using standard computational methods
35 U.S.C. § 103 Summary: Based on the teachings of US Patent 11857253 and the disclosed technical variations, a person having ordinary skill in the art would find the claimed innovations obvious and anticipated, specifically the integration of machine learning, real-time analytics, and multi-modal imaging into tissue ablation systems represents a predictable technological progression that would be readily conceived by a skilled practitioner in the field of medical device technologies.

Original Patent Information

Patent NumberUS 11,857,253
TitleTissue ablation and assessment system and method of use thereof
Assignee(s)The Johns Hopkins University