Next-Generation AI-Assisted Endoscopic Navigation System

Publication ID: 24-11857163_0005_PTD
Published: November 07, 2025
Category:Future Evolutions & Paradigm Shifts

Legal Citation

pr1or.art Inc., “Next-Generation AI-Assisted Endoscopic Navigation System,” Published Technical Disclosure No. 24-11857163_0005_PTD, Published November 07, 2025, available at https://archive.pr1or.art/24-11857163_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. 11,857,163.

Summary of the Inventive Concept

A revolutionary endoscopic navigation system that leverages artificial intelligence, computer vision, and machine learning to enable real-time, autonomous, and adaptive navigation, redefining the future of endoscopic procedures.

Background and Problem Solved

The original patent's swinging elevator design, while innovative, has limitations in terms of precision, flexibility, and adaptability. The new inventive concept addresses these limitations by integrating AI-driven technologies to enhance navigation, instrumentation, and procedural outcomes.

Detailed Description of the Inventive Concept

The next-generation endoscopic navigation system comprises a computer vision module that analyzes video feeds to detect and track anatomical features, an instrument guidance module that predicts optimal instrument trajectories, and a dynamically reconfigurable instrument elevator that can be reshaped in real-time to accommodate changing procedural requirements. The system utilizes artificial muscle actuators, advanced sensor feedback, and machine learning algorithms to identify and adapt to changing anatomical conditions, generating real-time instructions for the robotic instrument elevator. The modular endoscopy platform allows for seamless adaptation to diverse clinical applications, and the virtual reality-based training simulator provides immersive, personalized training experiences for clinicians.

Novelty and Inventive Step

The new claims introduce a paradigm shift in endoscopic navigation by integrating AI-driven technologies, enabling real-time autonomy, adaptability, and precision. The inventive concept's novelty lies in the combination of computer vision, machine learning, and dynamically reconfigurable instrumentation, which overcomes the limitations of the original patent's mechanical design.

Alternative Embodiments and Variations

Alternative embodiments may include variations in the computer vision module's architecture, the use of different machine learning algorithms, or the integration of additional sensors and actuators to enhance system performance. The modular endoscopy platform could be expanded to accommodate a broader range of clinical applications, and the virtual reality-based training simulator could be adapted for use in other medical specialties.

Potential Commercial Applications and Market

The next-generation AI-assisted endoscopic navigation system has significant commercial potential in the medical device industry, with applications in gastrointestinal, pulmonary, and other specialties. The system's ability to enhance procedural outcomes, reduce complications, and improve clinician training will drive market demand and adoption.

CPC Classifications

SectionClassGroup
A A61 A61B1/018
A A61 A61B1/00098
A A61 A61B8/12
G G02 G02B23/24
A A61 A61B1/00131

Field of Art

Medical endoscopy and robotic surgical instrumentation, with expertise in mechanical design, computer vision, and AI-driven medical technologies. Requires advanced engineering knowledge in biomechanical systems, sensor integration, and adaptive control mechanisms

Person of Ordinary Skill (PHOSITA) Profile

A biomedical engineer or medical device designer with advanced degrees in mechanical/electrical engineering, proficient in robotic systems design, computer vision algorithms, and medical device miniaturization techniques

Obviousness Rationale

A PHOSITA would recognize that integrating AI and computer vision with existing endoscopic elevator mechanisms represents a predictable technological evolution. The source patent's mechanical elevator design provides a foundational platform for introducing intelligent navigation capabilities. The disclosed AI-driven variations represent incremental improvements using known techniques in sensor integration and machine learning applied to existing endoscopic technologies.

Obvious Combinations & Variations

Source Patent Element
Swinging elevator mechanism for changing instrument protruding direction
PTD Variation
Dynamically reconfigurable instrument elevator using artificial muscle actuators and sensor feedback
Obviousness Reasoning
Predictable extension of existing mechanical design using known soft robotics and adaptive control techniques. A PHOSITA would recognize artificial muscle actuators as a natural progression from traditional mechanical actuation methods
Source Patent Element
Endoscope with instrument positioning capabilities
PTD Variation
Computer vision module for detecting and tracking anatomical features to guide instrument trajectories
Obviousness Reasoning
Applying computer vision to medical imaging is a well-established technique. Integrating AI-driven navigation with existing mechanical positioning systems represents an obvious technological improvement
Source Patent Element
Fixed mechanical elevator design
PTD Variation
Real-time reshaping of instrument elevator based on machine learning algorithms
Obviousness Reasoning
Adaptive control systems are standard in robotic technologies. A PHOSITA would find it obvious to introduce machine learning for dynamic instrument positioning using existing sensor and mechanical frameworks
Source Patent Element
Basic endoscopic insertion mechanism
PTD Variation
Modular endoscopy platform with interchangeable AI-optimized instrument modules
Obviousness Reasoning
Modular design is a common engineering approach. Introducing AI optimization to modular medical devices represents a predictable technological progression
Source Patent Element
Manual endoscopic procedure training
PTD Variation
Virtual reality-based training simulator with AI performance assessment
Obviousness Reasoning
Virtual simulation technologies are well-established in medical training. Incorporating AI assessment into existing simulation frameworks is an obvious technological enhancement
35 U.S.C. § 103 Summary: Based on the teachings of US Patent 11857163 and the disclosed technical variations, a person having ordinary skill in the art would find the claimed AI-assisted endoscopic navigation system obvious. The incremental technological improvements represent predictable applications of known computer vision, machine learning, and robotic control techniques to existing endoscopic mechanical designs, thus rendering potential patent claims obvious and unpatentable under 35 U.S.C. Section 103.

Original Patent Information

Patent NumberUS 11,857,163
TitleEndoscope having swinging elevator
Assignee(s)HOYA CORPORATION