Intelligent Surgical Fluid Management Systems

Publication ID: 24-11857776_0005_PTD
Published: October 28, 2025
Category:Future Evolutions & Paradigm Shifts

Legal Citation

pr1or.art Inc., “Intelligent Surgical Fluid Management Systems,” Published Technical Disclosure No. 24-11857776_0005_PTD, Published October 28, 2025, available at https://archive.pr1or.art/24-11857776_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. 11,857,776.

Summary of the Inventive Concept

Next-generation fluid management systems that integrate machine learning, wireless communication, and real-time data analytics to optimize fluid pressure control, visualization, and distension in surgical procedures.

Background and Problem Solved

The original patent's fluid management systems relied on manual adjustments and lacked real-time monitoring capabilities, often resulting in suboptimal fluid pressure and compromised visualization. The new inventive concept addresses these limitations by introducing advanced technologies to improve surgical outcomes.

Detailed Description of the Inventive Concept

The modular fluid management system comprises a wireless communication module, machine learning algorithm, and sterile, single-use fluid reservoir integrated with a reusable, electro-mechanical pump module. The system receives data from a wireless sensor module embedded in a surgical instrument, analyzes it using the machine learning algorithm, and adjusts fluid pressure output in real-time to maintain optimal visualization and distension. The sterile, single-use fluid reservoir features a flexible, collapsible design, built-in wireless sensor module, and self-sealing, snap-on connector. The system can be integrated with robotic-assisted surgery and features a cloud-based, artificial intelligence platform for fluid management system optimization.

Novelty and Inventive Step

The new claims introduce the innovative combination of machine learning, wireless communication, and real-time data analytics to fluid management systems, providing a paradigm shift in surgical fluid pressure control and visualization. The integration of these advanced technologies enables real-time optimization, predictive control, and enhanced visualization, making the original inventive concept obsolete.

Alternative Embodiments and Variations

Alternative embodiments may include variations in the machine learning algorithm, wireless communication protocols, or fluid reservoir designs. Additional variations could involve the integration of other advanced technologies, such as computer vision or augmented reality, to further enhance the system's capabilities.

Potential Commercial Applications and Market

The intelligent surgical fluid management system has significant commercial potential in the medical device industry, particularly in the areas of endoscopic and robotic-assisted surgery. The system's ability to improve surgical outcomes, reduce complications, and enhance patient safety will appeal to hospitals, surgical centers, and medical professionals worldwide.

Field of Art

Medical device engineering, specifically surgical fluid management systems and pressure regulation technologies, requiring expertise in mechanical engineering, fluid dynamics, and medical device design

Person of Ordinary Skill (PHOSITA) Profile

A biomedical engineer with advanced degree, 3-5 years experience in surgical device design, familiar with pressure regulation, wireless sensor integration, and medical device miniaturization techniques

Obviousness Rationale

A PHOSITA would recognize that integrating machine learning and wireless communication into existing fluid management systems represents a predictable technological evolution. The source patent's foundational pressure regulation framework provides a clear technical pathway for incorporating advanced monitoring and adaptive control technologies. The disclosed variations represent incremental improvements using standard engineering techniques available in the medical device and sensor technology domains.

Obvious Combinations & Variations

Source Patent Element
Pressure regulation system with multiple chambers and flexible membrane
PTD Variation
Adding wireless sensor module and machine learning algorithm for real-time pressure adjustment
Obviousness Reasoning
Integrating sensor-based feedback into existing pressure regulation is a known technique for improving system performance, representing a predictable application of contemporary sensor and control technologies
Source Patent Element
Surgical fluid management system with external vacuum source connection
PTD Variation
Cloud-based AI platform for analyzing and optimizing fluid pressure settings across multiple procedures
Obviousness Reasoning
Data collection and machine learning optimization of medical device parameters is a standard engineering approach for improving device performance and standardizing medical procedures
Source Patent Element
Fluid system with flexible membrane and chamber design
PTD Variation
Sterile, single-use fluid reservoir with collapsible design and embedded wireless sensor
Obviousness Reasoning
Modular design improvements and sensor integration represent standard design evolution in medical device engineering, using known techniques to enhance functionality and disposability
Source Patent Element
Pressure regulation system with air bleed mechanism
PTD Variation
Real-time fluid pressure optimization using embedded surgical instrument sensor data
Obviousness Reasoning
Adaptive pressure control using sensor feedback is a predictable extension of existing pressure regulation technologies, representing an obvious combination of known control system techniques
35 U.S.C. § 103 Summary: Based on the teachings of US Patent 11857776 and the disclosed technical variations, a person having ordinary skill in the art would find the claimed innovations of the present publication to be obvious and anticipated, specifically rendering obvious any patent claims directed to machine learning-enhanced fluid management systems with wireless sensor integration and adaptive pressure control mechanisms.

Original Patent Information

Patent NumberUS 11,857,776
TitleFluid management systems and methods
Assignee(s)Stryker Corporation