Published Technical Disclosure Archive

Adaptive Handheld Electromechanical Surgical System for Enhanced Surgical Outcomes

Publication ID: 24-11857194_0005_PTD
Published: November 07, 2025
Category:Future Evolutions & Paradigm Shifts

Legal Citation

pr1or.art Inc., “Adaptive Handheld Electromechanical Surgical System for Enhanced Surgical Outcomes,” Published Technical Disclosure No. 24-11857194_0005_PTD, Published November 07, 2025, available at https://archive.pr1or.art/24-11857194_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. 11,857,194.

Summary of the Inventive Concept

An advanced handheld electromechanical surgical system that leverages AI, augmented reality, and decentralized networks to optimize surgical outcomes, enable precision surgical tasks, and provide real-time feedback and guidance to surgeons.

Background and Problem Solved

Conventional handheld electromechanical surgical systems lack adaptability, precision, and real-time feedback, leading to suboptimal surgical outcomes. The original patent's limitations in terms of fixed motor speed, decoupling detection, and clamping force calculation are addressed by this new inventive concept, which integrates AI-driven analytics, real-time tissue analysis, and swarm robotics to revolutionize surgical procedures.

Detailed Description of the Inventive Concept

The new system comprises a modular, AI-assisted handle assembly that adapts to various surgical procedures and tissue types. The handle assembly includes a real-time tissue analysis module, a predictive analytics engine, and a holographic display. The system can execute customized surgical protocols based on real-time tissue analysis and predictive analytics, and features a swarm of micro-robots for precision surgical tasks. The micro-robots communicate with each other using a decentralized, blockchain-based network, ensuring secure and efficient data exchange.

Novelty and Inventive Step

The new claims introduce a paradigm shift in handheld electromechanical surgical systems by integrating AI, augmented reality, and decentralized networks. The inventive concept's novelty lies in its ability to adapt to various surgical procedures and tissue types, provide real-time feedback and guidance, and enable precision surgical tasks through swarm robotics.

Alternative Embodiments and Variations

Alternative embodiments of the inventive concept could include wearable devices, robotic assistants, or even implantable devices that leverage the same AI-driven analytics and decentralized networks. Variations could also include different types of surgical procedures, such as ophthalmic or neurosurgical applications.

Potential Commercial Applications and Market

The adaptive handheld electromechanical surgical system has significant commercial potential in the medical device industry, with applications in minimally invasive surgeries, robotic-assisted surgeries, and surgical training. The target market includes hospitals, clinics, and medical research institutions, with potential partnerships with pharmaceutical companies, medical device manufacturers, and healthcare providers.

CPC Classifications

SectionClassGroup
A A61 A61B17/1155
A A61 A61B17/072
A A61 A61B17/07207
A A61 A61B17/320016
A A61 A61B17/068
A A61 A61B90/98
A A61 A61B2017/00017
A A61 A61B2017/00022
A A61 A61B2017/0046
A A61 A61B2017/00119
A A61 A61B2017/00199
A A61 A61B2017/00221
A A61 A61B2017/00398
A A61 A61B2017/00411
A A61 A61B2017/00464
A A61 A61B2017/00473
A A61 A61B2017/00725
A A61 A61B2017/00734
A A61 A61B2017/07257
A A61 A61B2017/07271
A A61 A61B2017/07285
A A61 A61B2017/2903
A A61 A61B2017/2904
A A61 A61B2017/320032
A A61 A61B2090/064
A A61 A61B2090/0803
A A61 A61B2090/0811
A A61 A61B2217/007
A A61 A61B2562/0261

Field of Art

Surgical robotics and electromechanical surgical systems, focusing on minimally invasive surgical technologies with emphasis on precision control, tissue manipulation, and integrated electronic systems for surgical procedures

Person of Ordinary Skill (PHOSITA) Profile

A biomedical engineer or surgical device designer with advanced degrees in mechanical/electrical engineering, expertise in robotic surgical systems, knowledge of medical device control algorithms, and understanding of surgical workflow optimization technologies

Obviousness Rationale

A PHOSITA would recognize that the PTD's AI-driven and networked surgical system represents a predictable technological evolution of the source patent's electromechanical surgical device, leveraging known machine learning, augmented reality, and distributed computing techniques to enhance surgical precision and adaptability. The core mechanical and control principles established in the source patent provide a clear technological foundation for integrating advanced computational and networking capabilities. The variations represent logical extensions of existing surgical device technologies using standard engineering design approaches.

Obvious Combinations & Variations

Source Patent Element
Handle assembly with motor, power source, and controller for surgical device movement
PTD Variation
AI-assisted handle assembly with real-time tissue analysis and predictive analytics module
Obviousness Reasoning
Integrating machine learning and sensor-based analysis into existing surgical device controllers represents a known technique for enhancing device performance, with predictable results of improved surgical precision
Source Patent Element
Controller configured to measure and adjust clamping force during surgical procedures
PTD Variation
Holographic display and AI-driven surgical guidance module providing real-time feedback
Obviousness Reasoning
Extending device control systems to include visual feedback and adaptive guidance is a natural progression in surgical robotics, utilizing standard human-machine interface design principles
Source Patent Element
Electromechanical system with movable components for surgical procedures
PTD Variation
Swarm of micro-robots performing precision surgical tasks using decentralized blockchain network
Obviousness Reasoning
Decomposing surgical tasks across multiple coordinated robotic units is a foreseeable technological advancement, applying distributed computing and robotics principles to surgical device design
Source Patent Element
Surgical device with configurable control parameters
PTD Variation
Customizable surgical protocols based on real-time tissue analysis and predictive analytics
Obviousness Reasoning
Adaptive surgical protocols represent a logical extension of existing device configurability, applying machine learning to dynamically optimize surgical performance
Source Patent Element
Electromechanical surgical system with electronic control mechanisms
PTD Variation
Augmented reality visualization and AI-generated surgical training simulations
Obviousness Reasoning
Incorporating advanced visualization and training technologies is a predictable enhancement to existing surgical device platforms, utilizing standard computational and simulation techniques
35 U.S.C. § 103 Summary: Based on the teachings of US Patent 11857194 and the published technical disclosure, a person of ordinary skill in the art would find the claimed variations obvious, as the proposed innovations represent predictable technological extensions employing standard engineering techniques in surgical robotics, machine learning, and distributed computing domains. The disclosed variations would be obvious to a skilled practitioner as logical combinations of known surgical device control principles with emerging computational technologies.

Original Patent Information

Patent NumberUS 11,857,194
TitleHandheld electromechanical surgical system
Assignee(s)Covidien LP