Published Technical Disclosure Archive

AI-Driven Endoscope Objective Image Analysis System

Publication ID: 24-11857151_0003_PTD
Published: November 07, 2025
Category:Synergistic Combinations

Legal Citation

pr1or.art Inc., “AI-Driven Endoscope Objective Image Analysis System,” Published Technical Disclosure No. 24-11857151_0003_PTD, Published November 07, 2025, available at https://archive.pr1or.art/24-11857151_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. 11,857,151.

Summary of the Inventive Concept

A comprehensive system integrating AI, IoT, blockchain, and new materials to evaluate and optimize endoscope objective image quality, enhancing maintenance and repair processes.

Background and Problem Solved

The original patent addressed the need for standalone endoscopic objective image analysis, but it lacked the power of synergistic combinations. The new inventive concept solves the problem of limited image quality evaluation and maintenance by integrating AI, IoT, blockchain, and new materials to create a more powerful and efficient system.

Detailed Description of the Inventive Concept

The AI-driven endoscope objective image analysis system comprises an AI-powered image processing module, an IoT-enabled image capture system, a blockchain-based data storage module, and a new material-based optical component. The AI-powered image processing module analyzes images captured by the IoT-enabled image capture system and identifies optimal image quality parameters. The blockchain-based data storage module securely stores image quality data, ensuring transparency and integrity. The new material-based optical component enhances image quality, and the machine learning-based predictive maintenance module predicts maintenance schedules based on image quality data. The system provides a comprehensive and efficient way to evaluate and optimize endoscope objective image quality, enhancing maintenance and repair processes.

Novelty and Inventive Step

The new claims introduce the synergistic combination of AI, IoT, blockchain, and new materials, which is novel and non-obvious compared to the original patent. The integration of these distinct technologies enables a more powerful and efficient system for endoscope objective image analysis, providing a significant improvement over the original patent.

Alternative Embodiments and Variations

Alternative embodiments may include using different AI algorithms or IoT protocols, incorporating additional sensors or data sources, or utilizing different blockchain platforms or new materials. Variations may include adapting the system for use with different types of endoscopes or medical devices, or integrating the system with existing maintenance and repair workflows.

Potential Commercial Applications and Market

The AI-driven endoscope objective image analysis system has significant commercial potential in the medical device industry, particularly in the areas of endoscopy and minimally invasive surgery. The system can be marketed to medical device manufacturers, hospitals, and clinics, offering a comprehensive solution for endoscope objective image analysis and maintenance.

CPC Classifications

SectionClassGroup
A A61 A61B1/00009
A A61 A61B1/04
G G06 G06T5/003
G G06 G06T5/006
G G06 G06T7/0012
H H04 H04N23/67
G G06 G06T5/005
G G06 G06T7/174
G G06 G06T2207/10068
G G06 G06T2207/20221
G G06 G06T2207/30168
H H04 H04N23/6845
H H04 H04N23/951

Field of Art

Medical imaging systems, endoscopic image analysis, and diagnostic imaging technologies, requiring expertise in optical engineering, image processing, machine learning, and medical device instrumentation

Person of Ordinary Skill (PHOSITA) Profile

A skilled practitioner with advanced degrees in biomedical engineering, computer vision, or medical imaging, possessing knowledge of AI techniques, IoT protocols, and advanced optical systems design

Obviousness Rationale

A person having ordinary skill would recognize that integrating AI, IoT, and blockchain technologies into the existing endoscope image analysis framework represents a predictable technological evolution. The source patent's foundational image capture and analysis methodology provides a clear technical roadmap for enhancing the system with contemporary digital technologies. The proposed variations represent incremental improvements using well-established technological integration strategies common in medical diagnostic instrumentation.

Obvious Combinations & Variations

Source Patent Element
Image capture system configured to capture intermediate images of an endoscope objective
PTD Variation
IoT-enabled image capture system with AI-powered image processing module
Obviousness Reasoning
Adding network connectivity and AI analysis to an existing image capture system is a predictable technological enhancement, representing a known technique for improving diagnostic imaging systems
Source Patent Element
Image processing system identifying in-focus portions using spatial frequency analysis
PTD Variation
Machine learning-based predictive maintenance module analyzing image quality parameters
Obviousness Reasoning
Extending existing image analysis techniques to include predictive maintenance represents a logical application of machine learning to diagnostic imaging technologies, yielding foreseeable improvements in system performance
Source Patent Element
Optical component positioned between camera and objective
PTD Variation
New material-based optical component designed to enhance image quality
Obviousness Reasoning
Exploring advanced materials to improve optical performance is a standard engineering approach in optical system design, representing an obvious optimization strategy for skilled practitioners
Source Patent Element
System for evaluating endoscope objective image quality
PTD Variation
Blockchain-based data storage module for secure and transparent image quality documentation
Obviousness Reasoning
Implementing blockchain for secure data management is a known technique in medical technology for ensuring data integrity, representing a straightforward technological adaptation
Source Patent Element
Image analysis methodology for endoscopic objectives
PTD Variation
AI-driven comprehensive system integrating multiple technological domains
Obviousness Reasoning
Combining multiple technological domains using standard integration techniques represents a predictable evolution of existing diagnostic imaging systems, achievable through routine engineering skill
35 U.S.C. § 103 Summary: Based on the teachings of US Patent 11857151 and the comprehensive technological variations disclosed herein, a person having ordinary skill in the art would find the proposed endoscope objective analysis system variations obvious and lacking inventive merit. The incremental technological enhancements represent predictable applications of known techniques in medical imaging, AI, IoT, and blockchain technologies, thereby rendering potential patent claims obvious and non-patentable under 35 U.S.C. Section 103.

Original Patent Information

Patent NumberUS 11,857,151
TitleSystems and methods for standalone endoscopic objective image analysis
Assignee(s)STERIS Instrument Management Services, Inc.