Intelligent Gastric Sizing Systems for Personalized Bariatric Surgery

Publication ID: 24-11857445_0005_PTD
Published: October 28, 2025
Category:Future Evolutions & Paradigm Shifts

Legal Citation

pr1or.art Inc., “Intelligent Gastric Sizing Systems for Personalized Bariatric Surgery,” Published Technical Disclosure No. 24-11857445_0005_PTD, Published October 28, 2025, available at https://archive.pr1or.art/24-11857445_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. 11,857,445.

Summary of the Inventive Concept

This next-generation gastric sizing system leverages AI, machine learning, and advanced sensors to provide personalized, data-driven stomach sizing for optimal bariatric surgical outcomes.

Background and Problem Solved

The original gastric sizing systems, as described in the original patent, have limitations in terms of accuracy, efficiency, and patient-specific customization. The new inventive concept addresses these limitations by integrating cutting-edge technologies to provide a more precise, efficient, and personalized approach to gastric sizing.

Detailed Description of the Inventive Concept

The intelligent gastric sizing system comprises a neural network-enabled instrument that predicts optimal stomach size based on patient-specific metabolic profiles and real-time stomach anatomy analysis. This is achieved through a machine learning-based algorithm that integrates patient data, surgical technique, and post-operative outcomes to recommend customized stomach sizing and surgical approaches. The system features a smart gastric sizing instrument with an integrated sensor array for real-time monitoring of stomach tissue elasticity, enabling dynamic adjustments to the sizing process and minimizing tissue trauma. Additionally, the system includes modular, 3D-printed sizing tubes tailored to individual patient anatomies, facilitating a more precise and efficient surgical procedure. Surgeons can further hone their skills using a virtual reality-based training platform that provides real-time feedback and assessment of surgical proficiency.

Novelty and Inventive Step

The new claims introduce a paradigm shift in gastric sizing systems by incorporating AI, machine learning, and advanced sensors to provide personalized, data-driven stomach sizing. This represents a significant departure from the original patent's limitations, offering a more accurate, efficient, and patient-centric approach.

Alternative Embodiments and Variations

Alternative embodiments of the intelligent gastric sizing system could include the use of different AI algorithms, sensor types, or virtual reality platforms. Variations could also involve the integration of additional data sources, such as genetic markers or microbiome analysis, to further enhance the system's predictive capabilities.

Potential Commercial Applications and Market

The intelligent gastric sizing system has significant commercial potential in the bariatric surgery market, with potential applications in hospitals, clinics, and surgical centers. The system's ability to provide personalized, data-driven stomach sizing could lead to improved surgical outcomes, reduced complications, and increased patient satisfaction, ultimately driving market growth and adoption.

CPC Classifications

SectionClassGroup
A A61 A61F5/0089
A A61 A61B17/07207
A A61 A61B2017/00818
A A61 A61B2017/306
A A61 A61B2017/320052
A A61 A61J15/0003
A A61 A61M25/007

Field of Art

Medical Device Technology, Specifically Bariatric Surgery Instrumentation and Surgical Planning Systems, Encompassing Minimally Invasive Surgical Techniques, Medical Imaging, and Advanced Diagnostic Technologies

Person of Ordinary Skill (PHOSITA) Profile

A biomedical engineer or surgical instrument designer with advanced degrees in biomedical engineering, expertise in medical device design, familiarity with surgical procedural technologies, knowledge of machine learning applications in medical contexts, and understanding of patient-specific medical interventions

Obviousness Rationale

A PHOSITA would recognize that integrating machine learning, sensor technologies, and personalized surgical planning into existing gastric sizing systems represents a natural technological progression. The source patent's foundational gastric sizing methodology provides a clear technological framework that can be systematically enhanced through contemporary digital health technologies. The proposed variations represent predictable extensions of existing surgical instrumentation principles, utilizing well-established engineering approaches to incrementally improve medical device functionality.

Obvious Combinations & Variations

Source Patent Element
Sizing tube configured for introduction through patient's esophagus into stomach
PTD Variation
Neural network-enabled instrument with integrated sensor array for real-time stomach anatomy analysis
Obviousness Reasoning
Predictable application of sensor technologies to existing medical instrumentation, representing a known technique for enhancing diagnostic capabilities of surgical tools
Source Patent Element
Surgical instrument for stomach sizing procedures
PTD Variation
3D-printed modular sizing tubes customized to individual patient anatomies
Obviousness Reasoning
Routine design optimization using additive manufacturing techniques, applying known personalization strategies to medical device design
Source Patent Element
Basic gastric sizing system for bariatric procedures
PTD Variation
Machine learning algorithm integrating patient data, surgical techniques, and post-operative outcomes
Obviousness Reasoning
Systematic application of data-driven approaches to medical procedural planning, representing a foreseeable technological evolution in surgical methodology
Source Patent Element
Surgical instrument for stomach intervention
PTD Variation
Virtual reality training platform with real-time surgical technique feedback
Obviousness Reasoning
Known educational technology transfer from simulation-based training methodologies, representing a standard approach to surgical skills development
Source Patent Element
Mechanical sizing tube with basic functionality
PTD Variation
AI-enhanced instrument capable of dynamic sizing adjustments based on tissue elasticity monitoring
Obviousness Reasoning
Incremental technological enhancement using known sensor and machine learning technologies to improve surgical precision
35 U.S.C. § 103 Summary: Based on the teachings of US Patent 11857445 and the technological context of medical device innovation, the proposed variations represent obvious extensions of existing gastric sizing technologies. A person having ordinary skill in the art would find the disclosed machine learning, sensor integration, and personalized surgical planning techniques to be predictable modifications of the foundational surgical instrumentation disclosed in the source patent, thereby rendering subsequent claims of novelty non-patentable under 35 U.S.C. ยง 103.

Original Patent Information

Patent NumberUS 11,857,445
TitleGastric sizing systems including instruments for use in bariatric surgery
Assignee(s)Boehringer Laboratories LLC