AI-Integrated Ingress-Egress Apparatus for Enhanced Surgical Site Protection

Publication ID: 24-11857377_0003_PTD
Published: October 28, 2025
Category:Synergistic Combinations

Legal Citation

pr1or.art Inc., “AI-Integrated Ingress-Egress Apparatus for Enhanced Surgical Site Protection,” Published Technical Disclosure No. 24-11857377_0003_PTD, Published October 28, 2025, available at https://archive.pr1or.art/24-11857377_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. 11,857,377.

Summary of the Inventive Concept

A synergistic system combining the ingress-egress apparatus with AI, IoT, blockchain, and advanced materials to revolutionize surgical implant removal, ensuring enhanced protection of the surgical work site, optimized fluid flow, and improved patient outcomes.

Background and Problem Solved

The original ingress-egress apparatus, while effective in protecting the surgical work site during implant removal, has limitations in terms of fluid flow optimization, metal particle removal, and data tracking. The new inventive concept addresses these limitations by integrating the apparatus with distinct technologies to create a more powerful and efficient system.

Detailed Description of the Inventive Concept

The AI-integrated ingress-egress apparatus features an inverted frustum surface with ingress and egress ports, conforming soft base, and soft awning cover. The system is integrated with an AI-powered surgical assistant to optimize fluid flow and metal particle removal in real-time. IoT-enabled sensors monitor and adjust fluid flow, while a blockchain-based system tracks and verifies apparatus usage data. The conforming soft base is composed of a novel material with enhanced antimicrobial properties and durability. The system also incorporates a machine learning algorithm to predict and prevent surgical site infections, providing real-time risk assessments and recommendations through a user interface.

Novelty and Inventive Step

The new claims introduce a synergistic combination of the ingress-egress apparatus with AI, IoT, blockchain, and advanced materials, which is not obvious from the original patent. The integration of these distinct technologies creates a new, more powerful system that addresses the limitations of the original apparatus.

Alternative Embodiments and Variations

Alternative embodiments of the inventive concept could include integrating the apparatus with other AI-powered tools, using different types of sensors or blockchain platforms, or developing new material compositions with varying properties. Variations of the system could be designed for specific surgical procedures or implant types, ensuring broad conceptual coverage.

Potential Commercial Applications and Market

The AI-integrated ingress-egress apparatus has significant commercial potential in the medical device industry, particularly in the areas of orthopedic, neurosurgical, and cardiovascular surgery. The system's enhanced protection of the surgical work site, optimized fluid flow, and improved patient outcomes make it an attractive solution for hospitals and surgical centers.

CPC Classifications

SectionClassGroup
A A61 A61B90/03
A A61 A61B17/92
A A61 A61B17/17
A A61 A61B2017/0042
A A61 A61B2017/564
A A61 A61B2090/036
A A61 A61B2090/08021
A A61 A61B2217/005
A A61 A61B2217/007

Field of Art

Surgical medical devices and methods, specifically apparatus for protecting surgical sites during implant removal, with expertise in medical device design, surgical instrumentation, and advanced medical technology integration

Person of Ordinary Skill (PHOSITA) Profile

A biomedical engineer or medical device designer with advanced degree, 5-10 years experience in surgical technology, familiar with medical device integration, sensor technologies, and emerging digital health solutions

Obviousness Rationale

A PHOSITA would recognize that integrating digital technologies like AI, IoT, and blockchain with existing surgical apparatus represents a predictable extension of current medical device innovation. The core surgical apparatus remains fundamentally unchanged, with technological enhancements providing incremental improvements in monitoring, data tracking, and procedural optimization. The combination of known technologies to achieve enhanced surgical site protection would be considered an obvious design iteration within the medical device engineering domain.

Obvious Combinations & Variations

Source Patent Element
Inverted frustum surface with ingress and egress ports for surgical implant removal
PTD Variation
Adding AI-powered surgical assistant to optimize fluid flow and metal particle removal
Obviousness Reasoning
Integrating real-time monitoring and optimization algorithms represents a predictable application of known machine learning techniques to existing medical device functionality
Source Patent Element
Base portion of frustum surface sidewall
PTD Variation
Incorporating IoT-enabled sensors to monitor and adjust fluid flow in real-time
Obviousness Reasoning
Adding sensor technology to medical devices is a well-established technique for enhancing procedural control and monitoring, representing an obvious technological improvement
Source Patent Element
Conforming soft base attached to inverted frustum surface
PTD Variation
Developing novel material composition with enhanced antimicrobial properties
Obviousness Reasoning
Material science improvements in medical device components are routine design choices for skilled practitioners seeking to enhance device performance and safety
Source Patent Element
Surgical implant removal apparatus
PTD Variation
Implementing blockchain-based system for tracking and verifying apparatus usage data
Obviousness Reasoning
Applying blockchain tracking to medical device usage represents a straightforward digital documentation method familiar to those skilled in medical technology integration
Source Patent Element
Surgical site protection mechanism
PTD Variation
Machine learning algorithm to predict and prevent surgical site infections
Obviousness Reasoning
Predictive risk assessment using machine learning is a known technique in medical technology for improving procedural outcomes and patient safety
35 U.S.C. § 103 Summary: Based on the teachings of US Patent 11857377 and the disclosed technological variations, a person having ordinary skill in the art would find the claimed AI-integrated, sensor-enhanced surgical implant removal apparatus obvious and non-patentable. The incremental technological additions represent predictable combinations of known medical device design principles and digital health technologies, failing to demonstrate the non-obvious innovation required for patent protection.

Original Patent Information

Patent NumberUS 11,857,377
TitleIngress-egress apparatus for protection of surgical field during removal of surgical implants, and related methods
Assignee(s)Board of Trustees of Michigan State University