Intelligent Flexible Tube Insertion System with Predictive Analytics and Real-time Visualization

Publication ID: 24-11857157_0010_PTD
Published: November 07, 2025
Category:Future Evolutions & Paradigm Shifts

Legal Citation

pr1or.art Inc., “Intelligent Flexible Tube Insertion System with Predictive Analytics and Real-time Visualization,” Published Technical Disclosure No. 24-11857157_0010_PTD, Published November 07, 2025, available at https://archive.pr1or.art/24-11857157_0010_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. 11,857,157.

Summary of the Inventive Concept

A next-generation flexible tube insertion system leveraging machine learning, computer vision, and haptic feedback to optimize twisting operations, reduce procedural complexity, and enhance operator experience.

Background and Problem Solved

The original patent disclosed a flexible tube insertion support apparatus that relied on external force detectors and proprietary information to guide twisting operations. However, this approach has limitations in accurately predicting optimal twisting operations and adapting to varying pipeline sections. The new inventive concept addresses these limitations by integrating machine learning, computer vision, and haptic feedback to create a more intelligent, adaptive, and user-friendly flexible tube insertion system.

Detailed Description of the Inventive Concept

The system comprises a flexible tube insertion support apparatus, a control device, and a machine learning module trained on historical data and real-time feedback from the control device. The machine learning module predicts optimal twisting operations based on pipeline section characteristics, operator input, and real-time feedback. A computer vision module detects loop sections in the pipeline and adjusts twisting operations accordingly. The system also incorporates a robotic arm for flexible tube manipulation and a haptic feedback system providing tactile feedback to the operator. Real-time visualization of the flexible tube insertion process is enabled through a virtual reality module generating 3D visualizations based on data from the flexible tube insertion apparatus.

Novelty and Inventive Step

The new claims introduce the concept of predictive analytics and real-time visualization, which is not present in the original patent. The integration of machine learning, computer vision, and haptic feedback enables a more intelligent and adaptive flexible tube insertion system, making the original inventive concept obsolete.

Alternative Embodiments and Variations

Alternative embodiments may include using different machine learning algorithms, incorporating additional sensors for pipeline section characterization, or integrating the system with other medical devices. Variations may also include adapting the system for use in different medical procedures or industries.

Potential Commercial Applications and Market

The intelligent flexible tube insertion system has significant commercial potential in the medical device industry, particularly in endoscopy and gastrointestinal procedures. The system's ability to reduce procedural complexity, enhance operator experience, and improve patient outcomes makes it an attractive solution for hospitals and medical centers.

CPC Classifications

SectionClassGroup
A A61 A61B1/00055
A A61 A61B1/00009
A A61 A61B1/009
A A61 A61B1/0057
A A61 A61B1/00096
A A61 A61B1/00097
A A61 A61B5/061
A A61 A61B5/065
A A61 A61B1/044

Field of Art

Medical device technology, specifically endoscopic and interventional medical instrumentation with a focus on flexible tube insertion systems, diagnostic imaging, and procedural support technologies

Person of Ordinary Skill (PHOSITA) Profile

A biomedical engineer or medical device designer with advanced degrees in bioengineering, expertise in robotic medical systems, machine learning applications in medical technologies, and computer vision techniques for medical imaging and intervention

Obviousness Rationale

A person of ordinary skill would recognize that the source patent's fundamental approach to flexible tube insertion control naturally extends to incorporating advanced computational techniques like machine learning, computer vision, and real-time visualization. The core problem of optimizing flexible tube manipulation is consistently addressed through increasingly sophisticated technological solutions that leverage emerging computational capabilities.

Obvious Combinations & Variations

Source Patent Element
Processor configured to generate propriety information regarding twisting operations of a flexible tube based on external force quantities
PTD Variation
Machine learning module predicting optimal twisting operations using historical data and real-time feedback
Obviousness Reasoning
Predictable extension of existing force-based control logic using machine learning as a known technique for improving decision-making in control systems
Source Patent Element
Force quantity detection and accumulation for reference value calculation
PTD Variation
Computer vision module detecting loop sections and automatically adjusting twisting operations
Obviousness Reasoning
Logical progression from quantitative force measurement to visual detection and adaptive control, representing a known approach to enhancing procedural precision
Source Patent Element
External force detection and propriety information generation
PTD Variation
Haptic feedback system providing tactile operator guidance during flexible tube manipulation
Obviousness Reasoning
Predictable design choice to enhance operator awareness by converting computational insights into sensory feedback using well-established human-machine interaction principles
Source Patent Element
Processor for generating insertion operation information
PTD Variation
Virtual reality module generating 3D real-time visualization of tube insertion process
Obviousness Reasoning
Natural technological progression to improve procedural understanding through advanced visualization techniques common in medical and engineering domains
Source Patent Element
Force quantity tracking and analysis
PTD Variation
Synthetic dataset generation and reinforcement learning for training insertion algorithms
Obviousness Reasoning
Obvious application of machine learning training methodologies to improve computational models of complex physical interactions
35 U.S.C. § 103 Summary: Based on the teachings of US Patent 11857157 and the disclosed technical variations, a person of ordinary skill in the art would find the claimed innovations obvious and anticipated, as the present publication demonstrates straightforward technological extensions employing known computational techniques to enhance flexible tube insertion systems through predictive analytics, computer vision, and adaptive control mechanisms.

Original Patent Information

Patent NumberUS 11,857,157
TitleFlexible tube insertion support apparatus, flexible tube insertion apparatus, and flexible tube insertion method
Assignee(s)OLYMPUS CORPORATION