Advanced Endoscopic Imaging System for Enhanced Visualization and Analysis

Publication ID: 24-11857165_0005_PTD

Published: November 07, 2025

Category:Future Evolutions & Paradigm Shifts

Legal Citation

pr1or.art Inc., “Advanced Endoscopic Imaging System for Enhanced Visualization and Analysis,” Published Technical Disclosure No. 24-11857165_0005_PTD, Published November 07, 2025, available at https://archive.pr1or.art/24-11857165_0005_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

The inventive concept presents a next-generation endoscopic imaging system that leverages advanced technologies such as multi-spectral imaging, machine learning, and augmented reality to provide unparalleled visualization and analysis capabilities for medical professionals.

Background and Problem Solved

The original patent disclosed a method for endoscopic imaging with an endoscopic imaging system, which, although effective, has limitations in terms of image quality, analysis capabilities, and user experience. The new inventive concept addresses these limitations by introducing cutting-edge technologies that enable real-time image analysis, 3D visualization, and personalized surgical planning.

Detailed Description of the Inventive Concept

The advanced endoscopic imaging system comprises a multi-spectral imaging module, a machine learning-based image analysis module, and a display module for rendering images in a 3D augmented reality environment. The system can predict the presence of structures having predefined characteristics using deep learning-based algorithms and adjust the light source unit accordingly. Additionally, the system includes a cloud-based infrastructure for processing and storing endoscopic image data, a natural language processing module for generating descriptive reports, and a data analytics module for identifying trends and patterns.

Novelty and Inventive Step

The new inventive concept introduces a paradigm shift in endoscopic imaging by combining advanced technologies to provide real-time image analysis, 3D visualization, and personalized surgical planning. The inventive concept's novelty lies in its ability to predict and adapt to structures having predefined characteristics, enabling more accurate and efficient medical procedures.

Alternative Embodiments and Variations

Alternative embodiments of the inventive concept could include the use of robotic-assisted procedures, haptic feedback modules, and personalized 3D models of a patient's anatomy. Variations could also involve the integration of additional sensors, such as temperature or pressure sensors, to provide a more comprehensive understanding of the anatomical environment.

Potential Commercial Applications and Market

The advanced endoscopic imaging system has significant commercial potential in the medical device industry, particularly in the fields of gastroenterology, urology, and general surgery. The system's ability to enhance visualization and analysis capabilities could lead to improved patient outcomes, reduced procedure times, and increased adoption in hospitals and clinics worldwide.

CPC Classifications

Section	Class	Group
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

Section 103 Obviousness Analysis (PHOSITA)

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Field of Art

Medical imaging technologies, specifically endoscopic imaging systems with advanced image processing and multi-spectral capabilities, requiring expertise in optical engineering, medical device design, computer vision, and machine learning algorithms

Person of Ordinary Skill (PHOSITA) Profile

A person with a graduate degree in biomedical engineering, electrical engineering, or computer science, with 3-5 years of experience in medical imaging technologies, familiar with CMOS sensor design, image processing techniques, and emerging machine learning approaches for medical diagnostics

Obviousness Rationale

The PTD represents a predictable extension of the source patent's core endoscopic imaging methodology by integrating known machine learning, multi-spectral imaging, and cloud computing technologies. A PHOSITA would recognize that the fundamental imaging approach described in US 11857165 could be naturally enhanced with contemporary computational techniques to improve diagnostic capabilities. The variations represent incremental technological improvements using standard engineering approaches in medical imaging systems.

Obvious Combinations & Variations

Source Patent Element

Endoscopic imaging system with white light and special light modes for detecting specific structures

PTD Variation

Adding machine learning-based image analysis to automatically predict and characterize structures across multiple spectral bands

Obviousness Reasoning

Applying machine learning to medical imaging is a known technique for enhancing diagnostic capabilities, representing a predictable technological progression using standard deep learning approaches

Source Patent Element

Controller for managing image capture and display modes

PTD Variation

Implementing cloud-based infrastructure for processing, storing, and analyzing endoscopic image data with natural language generation

Obviousness Reasoning

Cloud computing and automated reporting are standard technological extensions in medical imaging, representing an obvious combination of existing infrastructure technologies

Source Patent Element

Video image sequence with synchronized light illumination

PTD Variation

3D augmented reality visualization and personalized surgical planning using generated patient anatomical models

Obviousness Reasoning

Transforming 2D medical imaging into 3D visualization is a predictable technological evolution using established computer graphics and medical imaging techniques

Source Patent Element

Endoscopic imaging system with multiple light modes

PTD Variation

Robotic-assisted procedures with real-time image stabilization and haptic feedback modules

Obviousness Reasoning

Integrating robotic technologies with medical imaging represents a known approach for enhancing surgical precision, using standard mechatronic and sensor integration techniques

Source Patent Element

Controller detecting structures with predefined characteristics

PTD Variation

Implementing multi-spectral imaging with adaptive light source optimization based on deep learning predictions

Obviousness Reasoning

Adaptive imaging systems using machine learning for spectral optimization are a predictable technological progression in medical imaging instrumentation

35 U.S.C. § 103 Summary: Based on the teachings of US 11857165 and the technological context of medical imaging systems, the variations disclosed herein would be obvious to a person having ordinary skill in the art, as they represent standard technological progressions using known techniques in machine learning, cloud computing, and medical imaging instrumentation. The disclosed system represents an incremental combination of prior art elements producing predictable results in the field of endoscopic imaging technologies.

Original Patent Information

Patent Number	US 11,857,165
Title	Method for endoscopic imaging, endoscopic imaging system and software program product
Assignee(s)	OLYMPUS WINTER & IBE GMBH