Neuro-Integrated Robotic Surgical System
Legal Citation
Summary of the Inventive Concept
A next-generation robotic surgical system that leverages direct brain-computer interaction, haptic feedback, and machine learning to revolutionize minimally invasive surgery.
Background and Problem Solved
The original surgeon input device for minimally invasive surgery had limitations in terms of precision, control, and adaptability. The new inventive concept addresses these limitations by introducing a wearable surgeon input device with a neural interface, enabling real-time control of the robotic surgical system and predicting the surgeon's movements.
Detailed Description of the Inventive Concept
The Neuro-Integrated Robotic Surgical System comprises a wearable surgeon input device with a neural interface that detects neural signals from the surgeon's brain. These signals are processed to generate control commands, which are transmitted to the robotic surgical system for real-time execution. The system also incorporates a haptic feedback system, providing tactile feedback to the surgeon, and a machine learning module that predicts and adapts to the surgeon's movements. Additionally, the system can be integrated with a swarm of micro-robots for collective tissue manipulation and repair, or controlled remotely through a cloud-based platform.
Novelty and Inventive Step
The new claims introduce the concept of direct brain-computer interaction, haptic feedback, and machine learning in a robotic surgical system, which is a significant departure from the original patent's electromagnetic signal transmitter and sensor probes. The inventive step lies in the integration of these advanced technologies to create a more precise, adaptable, and intuitive surgical system.
Alternative Embodiments and Variations
Alternative embodiments of the Neuro-Integrated Robotic Surgical System could include the use of other types of sensors, such as electroencephalography (EEG) or functional near-infrared spectroscopy (fNIRS), or different machine learning algorithms to improve the system's adaptability and precision. The system could also be modified for use in other medical procedures, such as laparoscopic or endoscopic surgeries.
Potential Commercial Applications and Market
The Neuro-Integrated Robotic Surgical System has significant commercial potential in the medical device industry, particularly in the areas of minimally invasive surgery and robotic-assisted surgery. The system's advanced features and improved precision could lead to increased adoption and market share, with potential applications in hospitals, clinics, and research institutions.
Section 103 Obviousness Analysis (PHOSITA)
Field of Art
Robotic surgical systems and human-machine interfaces, with expertise in biomedical engineering, sensor technologies, and neural signal processing
Person of Ordinary Skill (PHOSITA) Profile
A biomedical engineer or robotics specialist with advanced degrees, familiar with surgical robotics, neural interfaces, machine learning, and sensor integration techniques
Obviousness Rationale
A PHOSITA would recognize that the source patent's surgeon input device provides a foundational framework for advanced control mechanisms, which naturally invites technological extensions like neural interfaces and machine learning adaptation. The progression from electromagnetic signal transmission to direct neural control represents an incremental innovation that builds upon established robotic surgical system principles. The technical challenges of implementing brain-computer interfaces are well-understood within the field, making such variations predictable evolutionary steps.
Obvious Combinations & Variations
Original Patent Information
| Patent Number | US 11,857,285 |
|---|---|
| Title | Surgeon input device for minimally invasive surgery |