Published Technical Disclosure Archive

AI-Enhanced Robotic Clot Manipulation and Removal Systems

Publication ID: 24-11857277_0003_PTD
Published: November 07, 2025
Category:Synergistic Combinations

Legal Citation

pr1or.art Inc., “AI-Enhanced Robotic Clot Manipulation and Removal Systems,” Published Technical Disclosure No. 24-11857277_0003_PTD, Published November 07, 2025, available at https://archive.pr1or.art/24-11857277_0003_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. 11,857,277.

Summary of the Inventive Concept

The disclosed inventive concept integrates advanced technologies such as AI, IoT, blockchain, and novel materials to create a more powerful and efficient robotic clot manipulation and removal system.

Background and Problem Solved

The original patent disclosed a robotically controlled system for removing clots from patients. However, the system lacked the ability to adapt to varying clot geometries, optimize removal strategies in real-time, and ensure secure data storage. The new inventive concept addresses these limitations by incorporating synergistic combinations of distinct technologies.

Detailed Description of the Inventive Concept

The inventive concept comprises a robotic arm with an integrated AI-powered clot detection module, which analyzes real-time imaging data to identify optimal clot removal strategies. The system can be combined with IoT-enabled real-time patient monitoring, transmitting clot removal data to a cloud-based server and receiving personalized treatment recommendations based on machine learning analysis of the data. Additionally, a blockchain-based secure data storage module ensures tamper-proof recording of clot removal procedures and patient outcomes. The system can also utilize a novel shape-memory alloy (SMA) material in the robotic clot removal instrument, enabling adaptation to varying clot geometries and removal strategies. Furthermore, a computer-implemented method for predicting optimal clot removal strategies using a deep learning model trained on a dataset of robotic clot manipulation procedures can be employed.

Novelty and Inventive Step

The new claims introduce the integration of AI, IoT, blockchain, and novel materials, which are not present in the original patent. The inventive concept's novelty lies in the synergistic combination of these technologies to create a more powerful and efficient robotic clot manipulation and removal system.

Alternative Embodiments and Variations

Alternative embodiments of the inventive concept could include the use of other AI-powered modules, such as computer vision or natural language processing, to enhance the system's capabilities. Variations could also include the integration of other distinct technologies, such as augmented reality or 5G networks, to further improve the system's performance and efficiency.

Potential Commercial Applications and Market

The inventive concept has significant commercial potential in the medical device industry, particularly in the fields of neurology, cardiology, and vascular surgery. The system's ability to optimize clot removal strategies and ensure secure data storage could lead to improved patient outcomes and reduced healthcare costs.

CPC Classifications

SectionClassGroup
A A61 A61B34/30
A A61 A61B17/12136
A A61 A61B17/3207
A A61 A61B2017/22038
A A61 A61B2034/301
A A61 A61B2034/303
A A61 A61B2090/08021

Field of Art

Medical device engineering, specifically robotic surgical systems for vascular intervention, requiring advanced knowledge of robotics, medical imaging, minimally invasive surgical techniques, and biomedical engineering

Person of Ordinary Skill (PHOSITA) Profile

A biomedical engineer or medical device designer with expertise in robotic surgical systems, advanced medical instrumentation, AI integration in medical technologies, and understanding of vascular intervention techniques

Obviousness Rationale

A PHOSITA would recognize that integrating AI, IoT, and advanced materials into existing robotic clot removal systems represents a natural technological progression. The source patent provides a foundational robotic clot manipulation system that inherently invites technological enhancement through known techniques like machine learning, real-time data analysis, and adaptive materials. The proposed variations represent predictable extensions of existing medical robotics technologies that would be obvious to implement.

Obvious Combinations & Variations

Source Patent Element
Robotically controlled instrument with articulation capabilities for clot manipulation
PTD Variation
AI-powered clot detection module analyzing real-time imaging data to optimize removal strategies
Obviousness Reasoning
Integrating machine learning and computer vision into medical robotic systems is a known technique for improving precision and decision-making, representing a predictable technological enhancement
Source Patent Element
Elongate members capable of physically modifying clots
PTD Variation
Shape-memory alloy (SMA) material enabling adaptive instrument geometry for varying clot characteristics
Obviousness Reasoning
Using advanced materials to improve medical instrument adaptability is a standard design approach in biomedical engineering, representing an obvious modification to enhance existing device functionality
Source Patent Element
Robotic system for clot removal with imaging capabilities
PTD Variation
IoT-enabled real-time patient monitoring with cloud-based data transmission and machine learning treatment recommendations
Obviousness Reasoning
Extending medical device capabilities through networked technologies and data analytics is a well-established trend in medical device innovation, representing a predictable technological progression
Source Patent Element
Instrument system for medical intervention
PTD Variation
Blockchain-based secure data storage module for recording procedural outcomes
Obviousness Reasoning
Implementing secure, tamper-proof documentation methods is a standard approach in medical technologies, representing an obvious enhancement to existing documentation practices
Source Patent Element
Robotic clot manipulation system with guidewire integration
PTD Variation
Deep learning model for predicting optimal clot removal strategies based on patient-specific data
Obviousness Reasoning
Applying predictive analytics and machine learning to medical intervention techniques is a known method for improving procedural outcomes, representing a predictable technological extension
35 U.S.C. § 103 Summary: Based on the teachings of US Patent 11857277 and the disclosed technological variations, a person having ordinary skill in the art would find the proposed AI-enhanced, IoT-integrated, and adaptive robotic clot removal systems to be obvious modifications of existing medical robotic technologies. The combination of known techniques in machine learning, materials science, and medical device engineering renders the claimed innovations prima facie obvious under 35 U.S.C. ยง 103.

Original Patent Information

Patent NumberUS 11,857,277
TitleRobotically controlled clot manipulation and removal
Assignee(s)Auris Health, Inc.