Published Technical Disclosure Archive

Synergistic Medical Imaging System with Integrated AI, IoT, and Blockchain Technologies

Publication ID: 24-11857356_0008_PTD
Published: October 28, 2025
Category:Synergistic Combinations

Legal Citation

pr1or.art Inc., “Synergistic Medical Imaging System with Integrated AI, IoT, and Blockchain Technologies,” Published Technical Disclosure No. 24-11857356_0008_PTD, Published October 28, 2025, available at https://archive.pr1or.art/24-11857356_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. 11,857,356.

Summary of the Inventive Concept

A novel medical imaging system that integrates AI, IoT, and blockchain technologies to provide a more accurate, efficient, and secure medical imaging experience. The system enables real-time monitoring, personalized treatment plans, and secure decentralized data storage.

Background and Problem Solved

The original patent, 'Method and device for recording medical images', addressed the challenge of accurately capturing medical images. However, it lacked the capability to integrate with emerging technologies, limiting its potential for improved accuracy, efficiency, and security. The new inventive concept solves this problem by synergistically combining the original patented concept with AI, IoT, and blockchain technologies.

Detailed Description of the Inventive Concept

The system consists of a medical imaging device, a manual contrast administration unit, and a blockchain-based data storage unit. The medical imaging device performs a data-acquisition scan, and the manual contrast administration unit receives a signal from the medical imaging device to start and/or stop manual contrast administration. The blockchain-based data storage unit stores and secures medical imaging data and contrast administration data in a decentralized manner. The system also integrates an AI-powered recommendation engine, which provides personalized recommendations for medical imaging protocols and contrast administration based on patient-specific information and medical imaging data. Additionally, an IoT-based sensor network monitors and tracks the manual contrast administration in real-time.

Novelty and Inventive Step

The new claims introduce the novel combination of AI, IoT, and blockchain technologies with the original patented concept, providing a synergistic system that offers improved accuracy, efficiency, and security. The inventive step lies in the integration of these distinct technologies to create a more powerful and comprehensive medical imaging system.

Alternative Embodiments and Variations

Alternative embodiments may include the use of different AI algorithms, IoT sensor networks, or blockchain-based data storage units. Variations may also include the integration of additional technologies, such as robotics or augmented reality, to further enhance the medical imaging experience.

Potential Commercial Applications and Market

The Synergistic Medical Imaging System has significant commercial potential in the healthcare industry, particularly in hospitals, clinics, and research institutions. The system's ability to provide accurate, efficient, and secure medical imaging experiences makes it an attractive solution for medical professionals and patients alike.

CPC Classifications

SectionClassGroup
A A61 A61B6/504
A A61 A61B5/055
A A61 A61B6/032
A A61 A61B6/44
A A61 A61B6/4441
A A61 A61B6/481
A A61 A61B8/481
A A61 A61B8/483
A A61 A61M5/007
G G01 G01R33/283
G G01 G01R33/5601

Field of Art

Medical imaging technologies, specifically diagnostic imaging systems with contrast administration techniques, involving interdisciplinary skills in medical device engineering, signal processing, data management, and medical informatics

Person of Ordinary Skill (PHOSITA) Profile

A professional with advanced degree (MS/PhD) in biomedical engineering, medical imaging, or related technical field, having expertise in medical device design, signal processing algorithms, and familiarity with emerging technologies like AI, IoT, and blockchain

Obviousness Rationale

A PHOSITA would recognize that integrating AI, IoT, and blockchain technologies into existing medical imaging contrast administration systems represents a predictable technological evolution using known techniques. The fundamental medical imaging methodology remains consistent with the source patent, while the proposed variations represent incremental improvements in data management, monitoring, and personalization. These technological integrations would be considered straightforward extensions of existing medical imaging paradigms by a skilled practitioner.

Obvious Combinations & Variations

Source Patent Element
Method for capturing medical images with manual contrast administration timing and signaling
PTD Variation
Adding AI-powered recommendation engine for personalized imaging protocols
Obviousness Reasoning
Applying machine learning to optimize medical imaging protocols is a known technique, representing a predictable application of AI to existing medical imaging processes
Source Patent Element
Medical image data capture and processing method
PTD Variation
Implementing blockchain-based decentralized data storage for medical imaging records
Obviousness Reasoning
Blockchain technology for secure medical data management is an emerging but foreseeable technological solution for improving data integrity and patient privacy
Source Patent Element
Contrast administration timing and monitoring process
PTD Variation
Integrating IoT sensor networks for real-time tracking of contrast administration
Obviousness Reasoning
Using networked sensors to monitor medical procedures is a logical extension of existing monitoring technologies, representing a design choice with predictable results
Source Patent Element
Medical imaging device with signal-based contrast administration control
PTD Variation
Adding AI algorithm for analyzing medical imaging data and generating personalized treatment plans
Obviousness Reasoning
Applying computational analysis to medical imaging data is a well-established technique, representing an obvious enhancement to existing diagnostic methodologies
35 U.S.C. § 103 Summary: Pursuant to 35 U.S.C. ยง103, the variations disclosed in this publication would be considered obvious to a person having ordinary skill in the art at the time of invention, when viewed in light of US Patent 11857356. The proposed technological integrations represent predictable combinations of known techniques in medical imaging, AI, IoT, and blockchain technologies, without rising to the level of non-obvious innovation.

Original Patent Information

Patent NumberUS 11,857,356
TitleMethod and device for recording medical images
Assignee(s)Siemens Healthcare Limited