Synergistic Endoscopic Imaging System

Publication ID: 24-11857158_0003_PTD
Published: November 07, 2025
Category:Synergistic Combinations

Legal Citation

pr1or.art Inc., “Synergistic Endoscopic Imaging System,” Published Technical Disclosure No. 24-11857158_0003_PTD, Published November 07, 2025, available at https://archive.pr1or.art/24-11857158_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. 11,857,158.

Summary of the Inventive Concept

A novel, AI-powered endoscopic imaging system integrating advanced optical components with cutting-edge technologies like IoT, blockchain, and machine learning to revolutionize medical diagnostics.

Background and Problem Solved

The original patent addressed the limitation of narrow depth of field in endoscope apparatuses. However, with the increasing demand for real-time image analysis, anomaly detection, and secure data transmission, there exists a need for a more comprehensive and integrated system. The present inventive concept solves this problem by combining the patented optical system with AI, IoT, blockchain, and machine learning technologies.

Detailed Description of the Inventive Concept

The synergistic endoscopic imaging system comprises the patented optical system, an AI-powered image processing module for optimized image quality and anomaly detection, an IoT-enabled sensor module for monitoring environmental conditions, a communication module for transmitting data to a remote monitoring system, and a machine learning module for predicting and preventing medical complications. The system also incorporates a novel, hybrid material-based λ/4 wavelength plate exhibiting enhanced birefringence and improved optical properties. Additionally, the system utilizes blockchain-secured data transmission to ensure data integrity and security.

Novelty and Inventive Step

The new claims introduce a synergistic combination of the patented optical system with AI, IoT, blockchain, and machine learning technologies, providing a novel and non-obvious solution for enhanced endoscopic imaging and real-time image analysis. The integration of these technologies enables real-time anomaly detection, secure data transmission, and predictive analytics, which is not possible with the original patent alone.

Alternative Embodiments and Variations

Alternative embodiments of the inventive concept could include varying the type of AI algorithm used, incorporating additional sensors for monitoring different environmental conditions, or utilizing different blockchain protocols for secure data transmission. Furthermore, the system could be adapted for use in various medical specialties, such as gastroenterology or urology.

Potential Commercial Applications and Market

The synergistic endoscopic imaging system has significant commercial potential in the medical diagnostics industry, particularly in hospitals, clinics, and medical research institutions. The system's ability to provide real-time image analysis, anomaly detection, and predictive analytics could revolutionize the field of medical diagnostics, enabling earlier disease detection and more effective treatment.

CPC Classifications

SectionClassGroup
A A61 A61B1/00096
A A61 A61B1/000095
A A61 A61B1/05
A A61 A61B1/0655
G G02 G02B23/2407
G G02 G02B23/2484
G G02 G02B27/283

Field of Art

Medical imaging systems, specifically endoscopic optical systems and image processing technologies, involving advanced optical engineering, medical instrumentation, and digital imaging techniques

Person of Ordinary Skill (PHOSITA) Profile

A skilled practitioner with expertise in biomedical engineering, optical system design, and medical imaging technologies, holding advanced degrees in engineering or medical physics, with working knowledge of optical components, image processing algorithms, and medical diagnostic technologies

Obviousness Rationale

A person having ordinary skill in the art would recognize that integrating AI, IoT, and machine learning technologies with existing endoscopic optical systems represents a predictable technological evolution. The source patent's advanced optical system provides a foundational platform for enhanced digital imaging capabilities. The proposed variations represent incremental improvements using well-established technological integration techniques common in medical diagnostic instrumentation.

Obvious Combinations & Variations

Source Patent Element
Optical system with quarter-wave plate and polarizing beam splitter
PTD Variation
Adding AI-powered image processing module to optimize image quality and detect anomalies
Obviousness Reasoning
Image enhancement through computational techniques is a known approach in medical imaging, representing a predictable application of machine learning to existing optical systems
Source Patent Element
Endoscope apparatus with image sensor
PTD Variation
Incorporating IoT-enabled sensor module for environmental monitoring and remote data transmission
Obviousness Reasoning
Integrating sensor networks and remote monitoring is a standard practice in modern medical instrumentation, representing an obvious technological extension
Source Patent Element
Optical system using birefringent material
PTD Variation
Developing hybrid material-based wavelength plate with enhanced birefringence using nanomaterials
Obviousness Reasoning
Material science optimization through nanomaterial integration is a predictable approach for improving optical component performance
Source Patent Element
Polarizing beam splitter configuration
PTD Variation
Implementing blockchain-secured data transmission for medical imaging systems
Obviousness Reasoning
Secure data transmission techniques are well-known in medical technologies, representing an obvious security enhancement for digital imaging systems
Source Patent Element
Endoscope image capture mechanism
PTD Variation
Adding machine learning module for predicting and preventing medical complications
Obviousness Reasoning
Predictive analytics in medical diagnostics is a recognized technological trend, representing a straightforward application of machine learning to existing imaging technologies
35 U.S.C. § 103 Summary: Based on the teachings of US Patent 11857158 and the disclosed technological variations, a person having ordinary skill in the art would find the proposed endoscopic imaging system extensions to be obvious and lacking inventive step. The incremental technological improvements represent predictable combinations of known medical imaging techniques, thereby rendering potential claims covering similar systems unpatentable under 35 U.S.C. Section 103.

Original Patent Information

Patent NumberUS 11,857,158
TitleOptical system, endoscope apparatus and endoscope
Assignee(s)OLYMPUS CORPORATION