Published Technical Disclosure Archive

AI-Enhanced Endoscopic Objective Image Analysis Systems

Publication ID: 24-11857151_0008_PTD
Published: November 07, 2025
Category:Synergistic Combinations

Legal Citation

pr1or.art Inc., “AI-Enhanced Endoscopic Objective Image Analysis Systems,” Published Technical Disclosure No. 24-11857151_0008_PTD, Published November 07, 2025, available at https://archive.pr1or.art/24-11857151_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. 11,857,151.

Summary of the Inventive Concept

The inventive concept integrates blockchain, AI, IoT, and nanomaterials with the original patented system to provide a more comprehensive and accurate image analysis solution for evaluating endoscope objectives.

Background and Problem Solved

The original patented system, 'Systems and methods for standalone endoscopic objective image analysis', has limitations in terms of image quality evaluation, data storage, and objective performance prediction. The new inventive concept addresses these limitations by incorporating advanced technologies to provide a more robust and efficient image analysis system.

Detailed Description of the Inventive Concept

The AI-Enhanced Endoscopic Objective Image Analysis Systems comprise an objective from an endoscope, a blockchain-based data storage system, an AI-powered image analysis module, and optional IoT sensor integration and nanomaterial-based optical components. The system captures intermediate images of the formed image from the objective, transmits them to a cloud-based server for AI-powered image analysis, and generates a report on image quality metrics and objective performance. The AI-powered image analysis module predicts and prevents objective degradation using machine learning algorithms and IoT sensor data. The system can also integrate with a supply chain management system to automatically order replacement objectives based on the image quality metrics and objective performance.

Novelty and Inventive Step

The new claims introduce the novel combination of blockchain, AI, IoT, and nanomaterials with the original patented system, providing a more comprehensive and accurate image analysis solution. The inventive step lies in the synergistic integration of these distinct technologies to create a more powerful system.

Alternative Embodiments and Variations

Alternative embodiments of the inventive concept could include using different AI algorithms, incorporating additional IoT sensors, or utilizing various nanomaterial-based optical components. Variations could also include integrating the system with other medical devices or using it for evaluating objectives in different applications.

Potential Commercial Applications and Market

The AI-Enhanced Endoscopic Objective Image Analysis Systems have significant commercial potential in the medical device industry, particularly in the areas of endoscopy and minimally invasive surgery. The system's ability to provide accurate and efficient image analysis, predict objective degradation, and automate replacement objective ordering could revolutionize the industry and improve patient outcomes.

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 advanced computational techniques involving AI, machine learning, and sensor integration for medical device performance evaluation

Person of Ordinary Skill (PHOSITA) Profile

A skilled practitioner with expertise in biomedical engineering, optical systems design, machine learning, and medical device diagnostics, holding advanced degrees in engineering or computer science with 3-5 years of specialized experience in medical imaging technologies

Obviousness Rationale

A person having ordinary skill in the art would recognize that integrating AI, blockchain, and IoT technologies with existing endoscopic image analysis systems represents a predictable extension of known techniques for enhancing diagnostic capabilities. The source patent's fundamental approach of objective image evaluation provides a clear technical foundation for incorporating advanced computational methods. The proposed variations represent straightforward technological improvements using well-established integration strategies in medical imaging and diagnostic technologies.

Obvious Combinations & Variations

Source Patent Element
Image capture system configured to capture intermediate images of a formed image from an endoscope objective
PTD Variation
Adding AI-powered image analysis module and cloud-based server for processing and analyzing captured images
Obviousness Reasoning
Applying machine learning to image analysis is a known technique in medical imaging, representing a predictable improvement to existing image evaluation methods
Source Patent Element
Image processing system identifying in-focus portions using spatial frequencies and edge detection
PTD Variation
Implementing blockchain-based data storage and verification for image quality metrics
Obviousness Reasoning
Blockchain technology provides a standard method for secure data management and verification, representing an obvious technological enhancement for medical diagnostic systems
Source Patent Element
Objective evaluation system with movable camera along optical axis
PTD Variation
Integrating IoT sensors to monitor and predict objective degradation using machine learning algorithms
Obviousness Reasoning
Predictive maintenance using sensor data and machine learning is a well-established approach in engineering systems, particularly for precision optical equipment
Source Patent Element
Standalone system for evaluating endoscope objectives
PTD Variation
Adding supply chain management integration for automatic replacement part ordering based on performance metrics
Obviousness Reasoning
Automated inventory and replacement systems are standard practice in medical device management, representing an obvious technological extension
Source Patent Element
Optical image analysis techniques
PTD Variation
Incorporating nanomaterial-based optical components to enhance image quality
Obviousness Reasoning
Material science innovations for optical performance improvement are predictable evolutionary steps in imaging technology development
35 U.S.C. § 103 Summary: Pursuant to 35 U.S.C. ยง 103, the variations disclosed herein would have been obvious to a person having ordinary skill in the art at the time of invention, as they represent straightforward technological extensions of the foundational teachings in US Patent 11857151, combining known techniques in AI, blockchain, IoT, and nanomaterials with established endoscopic image analysis methodologies to achieve predictable improvements in diagnostic capabilities.

Original Patent Information

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