Synergistic Endoscopic Imaging System

Publication ID: 24-11857165_0003_PTD
Published: November 07, 2025
Category:Synergistic Combinations

Legal Citation

pr1or.art Inc., “Synergistic Endoscopic Imaging System,” Published Technical Disclosure No. 24-11857165_0003_PTD, Published November 07, 2025, available at https://archive.pr1or.art/24-11857165_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. 11,857,165.

Summary of the Inventive Concept

An innovative endoscopic imaging system integrating AI, IoT, blockchain, and nanomaterial-based technologies to enhance diagnostic capabilities and streamline medical workflows.

Background and Problem Solved

The original patent, 'Method for endoscopic imaging, endoscopic imaging system and software program product,' provided a foundational approach to endoscopic imaging. However, the system lacked advanced analytics, secure data storage, real-time transmission, and biomarker detection capabilities. The new inventive concept addresses these limitations by incorporating synergistic technologies to create a more powerful and efficient system.

Detailed Description of the Inventive Concept

The system comprises a video endoscope with a CMOS image sensor, a light source generating white and special lights, a controller, and various synergistic modules. The AI-based image analysis module detects structures with predefined characteristics, enabling the controller to adjust the light source and image capture accordingly. The cloud-based server and IoT-enabled communication module facilitate real-time transmission of examination results to remote experts. The blockchain-based data storage module ensures secure storage and sharing of examination results. Additionally, the nanomaterial-based sensor detects specific biomarkers in the examination surroundings, enhancing diagnostic capabilities.

Novelty and Inventive Step

The new claims introduce a synergistic combination of AI, IoT, blockchain, and nanomaterial-based technologies, which provides a non-obvious and innovative solution to the limitations of the original patent. The integration of these technologies enables a more efficient, secure, and accurate endoscopic imaging system.

Alternative Embodiments and Variations

Alternative embodiments may include integrating the system with robotic-assisted surgery platforms, using machine learning algorithms for predictive analytics, or incorporating additional sensors for detecting different biomarkers. Variations may also include adapting the system for use in various medical specialties, such as gastroenterology, pulmonology, or urology.

Potential Commercial Applications and Market

The Synergistic Endoscopic Imaging System has significant commercial potential in the medical device industry, particularly in the fields of gastroenterology, pulmonology, and urology. The system's advanced diagnostic capabilities, secure data storage, and real-time transmission features make it an attractive solution for hospitals, clinics, and medical research institutions.

CPC Classifications

SectionClassGroup
A A61 A61B1/043
A A61 A61B1/000094
A A61 A61B1/044
A A61 A61B1/0638
A A61 A61B1/0655
G G06 G06F18/214
G G06 G06N3/08
G G06 G06V10/141
G G06 G06V10/143
H H04 H04N5/265
H H04 H04N23/74
G G06 G06V2201/032

Field of Art

Medical imaging technologies, specifically endoscopic imaging systems with advanced sensor and computational capabilities, encompassing medical instrumentation, image processing, and diagnostic technologies

Person of Ordinary Skill (PHOSITA) Profile

A biomedical engineer or medical imaging specialist with expertise in digital imaging, sensor technologies, computer vision, and medical device design, holding advanced degrees in biomedical engineering, electrical engineering, or related fields

Obviousness Rationale

A PHOSITA would recognize that integrating emerging computational technologies like AI, IoT, and blockchain into existing endoscopic imaging systems represents a predictable evolution of medical imaging technologies. The source patent's foundational imaging method provides a clear technical framework that naturally supports incremental technological enhancements. These variations represent standard engineering approaches to improving diagnostic capabilities through computational and sensor innovations.

Obvious Combinations & Variations

Source Patent Element
Endoscopic imaging system with white and special light image capture using CMOS sensors
PTD Variation
Adding AI-based image analysis module to automatically detect and analyze structures during imaging
Obviousness Reasoning
AI-powered image recognition is a known technique in medical imaging for automated diagnostic assistance, representing a predictable application of machine learning to existing imaging technologies
Source Patent Element
Controller managing image capture and display modes
PTD Variation
Implementing cloud-based server and IoT communication for remote expert consultation and result transmission
Obviousness Reasoning
Integrating telemedicine and remote diagnostic capabilities is a standard technological progression in medical imaging, utilizing well-established cloud and network communication protocols
Source Patent Element
Endoscopic imaging system with multiple light illumination modes
PTD Variation
Incorporating nanomaterial-based sensors for detecting biomarkers during examination
Obviousness Reasoning
Expanding diagnostic capabilities through advanced sensor technologies is a routine engineering approach, representing an obvious enhancement to existing medical imaging systems
Source Patent Element
Image capture and display methods for medical diagnostics
PTD Variation
Blockchain-based secure data storage and sharing of examination results
Obviousness Reasoning
Implementing blockchain for medical data security is a known technique for addressing privacy and integrity concerns in digital medical records
Source Patent Element
Synchronized white and special light image capture
PTD Variation
Machine learning algorithms for predictive analytics and diagnostic pattern recognition
Obviousness Reasoning
Applying machine learning to medical imaging represents a standard technological evolution, leveraging computational approaches to enhance diagnostic capabilities
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 the invention, as they represent predictable technological enhancements to the foundational imaging method disclosed in US Patent 11857165, combining known techniques in computational imaging, sensor technologies, and medical diagnostics to achieve foreseeable improvements in endoscopic imaging systems.

Original Patent Information

Patent NumberUS 11,857,165
TitleMethod for endoscopic imaging, endoscopic imaging system and software program product
Assignee(s)OLYMPUS WINTER & IBE GMBH