Intelligent Multi-Channel RF Ablation System

Publication ID: 24-11857245_0008_PTD

Published: November 07, 2025

Category:Synergistic Combinations

Legal Citation

pr1or.art Inc., “Intelligent Multi-Channel RF Ablation System,” Published Technical Disclosure No. 24-11857245_0008_PTD, Published November 07, 2025, available at https://archive.pr1or.art/24-11857245_0008_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. 11,857,245.

Summary of the Inventive Concept

An advanced RF ablation system integrating AI, IoT, blockchain, and computer vision to optimize treatment protocols, ensure data security, and enhance real-time monitoring and control.

Background and Problem Solved

The original patent disclosed a method for multi-channel RF ablation, but it had limitations in optimizing ablation signal parameters, securing treatment data, and integrating with external monitoring systems. The new inventive concept addresses these limitations by incorporating synergistic technologies to create a more powerful and efficient system.

Detailed Description of the Inventive Concept

The intelligent multi-channel RF ablation system comprises a neural network-based controller, a blockchain-secured data storage unit, a modular IoT-enabled hardware architecture, and an AI-powered software module. The system optimizes ablation signal parameters in real-time using machine learning algorithms, ensures secure data sharing and storage, and facilitates seamless integration with external cardiac monitoring systems. The system also incorporates computer vision and machine learning algorithms to analyze video data from an endoscope and detect potential complications during the ablation procedure.

Novelty and Inventive Step

The new claims introduce the innovative combination of AI, IoT, blockchain, and computer vision technologies with multi-channel RF ablation, providing a significant improvement over the original patent. The inventive step lies in the integration of these distinct technologies to create a more powerful, efficient, and secure system.

Alternative Embodiments and Variations

Alternative embodiments may include integrating the system with other medical devices, such as ECG monitors or ultrasound machines, or using different AI algorithms for optimizing ablation signal parameters. Variations may include adapting the system for use in other medical procedures, such as cancer treatment or neurosurgery.

Potential Commercial Applications and Market

The intelligent multi-channel RF ablation system has significant commercial potential in the medical device industry, particularly in the fields of cardiology and electrophysiology. The system's ability to optimize treatment protocols, ensure data security, and enhance real-time monitoring and control makes it an attractive solution for hospitals and medical centers.

CPC Classifications

Section	Class	Group
A	A61	A61B18/1206
A	A61	A61B18/1492
A	A61	A61B2018/00351
A	A61	A61B2018/00577
A	A61	A61B2018/00702
A	A61	A61B2018/00732
A	A61	A61B2018/00767
A	A61	A61B2018/00791
A	A61	A61B2018/00827
A	A61	A61B2018/00875
A	A61	A61B2018/00892
A	A61	A61B2018/128
A	A61	A61B2018/1273

Section 103 Obviousness Analysis (PHOSITA)

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Field of Art

Medical device technologies for cardiac ablation, specifically radiofrequency (RF) ablation systems with multi-channel signal generation and modulation, requiring advanced electrical engineering, medical device design, and signal processing expertise

Person of Ordinary Skill (PHOSITA) Profile

A biomedical engineer with expertise in RF ablation technologies, signal processing, electrical circuit design, and familiarity with medical device control systems, holding advanced degrees in bioengineering or electrical engineering with specialized knowledge in medical device innovations

Obviousness Rationale

A PHOSITA would recognize that integrating AI, IoT, and machine learning technologies into multi-channel RF ablation represents a predictable technological evolution, leveraging known computational techniques to enhance existing medical device control and monitoring capabilities. The proposed variations systematically apply well-established computational methods to optimize and secure existing RF ablation methodologies. These technological extensions represent incremental improvements that would be obvious to a skilled practitioner familiar with both medical device design and emerging computational technologies.

Obvious Combinations & Variations

Source Patent Element

Multi-channel ablation with different signal frequencies and amplitudes

PTD Variation

Neural network-based controller for dynamically optimizing ablation signal parameters in real-time

Obviousness Reasoning

Applying machine learning to signal parameter optimization is a known technique in signal processing, representing a predictable application of computational intelligence to existing multi-channel ablation technologies

Source Patent Element

Ablation signal generation across multiple channels

PTD Variation

IoT-enabled modular hardware architecture for real-time monitoring and control of ablation signals

Obviousness Reasoning

Integrating network-connected monitoring systems is a standard design approach for improving medical device functionality, representing an obvious extension of existing multi-channel control methodologies

Source Patent Element

Cardiac tissue ablation procedure

PTD Variation

Computer vision and machine learning algorithms for analyzing endoscopic video during ablation to detect potential complications

Obviousness Reasoning

Applying computational vision techniques to medical procedure monitoring represents a predictable technological progression, utilizing well-established machine learning approaches to enhance procedural safety

Source Patent Element

Multiple ablation signal generation

PTD Variation

Blockchain-secured data storage for recording and sharing treatment information

Obviousness Reasoning

Implementing secure data management techniques is a standard design consideration in modern medical technologies, representing an obvious enhancement to existing medical device data handling approaches

Source Patent Element

RF ablation signal modulation

PTD Variation

Cloud-based data analytics platform for real-time ECG and treatment data analysis

Obviousness Reasoning

Extending medical device functionality through cloud-based computational analysis is a predictable technological evolution, representing an obvious application of contemporary data processing techniques

35 U.S.C. § 103 Summary: Based on the teachings of US Patent 11857245 and the disclosed technological variations, a person having ordinary skill in the art would find the proposed multi-channel RF ablation system with AI, IoT, and machine learning enhancements to be an obvious combination of known techniques, rendering potential patent claims in this domain anticipated and non-patentable under 35 U.S.C. Section 103.

Original Patent Information

Patent Number	US 11,857,245
Title	Multi-channel RF ablation
Assignee(s)	Biosense Webster (Israel) Ltd.