Intelligent Surgical Systems with Real-time Haptic Feedback and Autonomous Tool Movement
Legal Citation
Summary of the Inventive Concept
A next-generation surgical system that integrates artificial intelligence, haptic feedback, and autonomous tool movement to revolutionize the field of computer-assisted surgeries, enhancing precision, speed, and safety.
Background and Problem Solved
The original patent, 'Surgical system with automated alignment,' introduced a system that relied on pre-operative planning and automated alignment. However, this system had limitations in terms of real-time adaptability, tactile feedback, and autonomous decision-making. The new inventive concept addresses these limitations by incorporating machine learning, haptic feedback, and swarm robotics to create a more dynamic, responsive, and efficient surgical system.
Detailed Description of the Inventive Concept
The new surgical system comprises a neural network-based prediction module, a haptic device, and a robotic device. The prediction module forecasts optimal surgical trajectories, while the haptic device provides real-time tactile feedback to the surgeon based on these predictions. The robotic device automatically adjusts surgical tool movement in response to the predicted trajectories. Additionally, the system may include a swarm of micro-robots for autonomous tissue dissection, a virtual reality module for simulation-based training, and a machine learning-based evaluation module for real-time surgical skill assessment.
Novelty and Inventive Step
The new claims introduce a paradigm shift in surgical systems by integrating artificial intelligence, haptic feedback, and autonomous tool movement. The use of neural networks for prediction, swarm robotics for tissue dissection, and machine learning-based evaluation for surgical skill assessment are all novel and non-obvious advancements over the original patent.
Alternative Embodiments and Variations
Alternative embodiments may include the use of different machine learning algorithms, varying haptic feedback modalities, or incorporating additional sensors for real-time data acquisition. Variations may also involve adapting the system for different surgical specialties, such as orthopedic, neurosurgical, or ophthalmological procedures.
Potential Commercial Applications and Market
The intelligent surgical system has vast commercial potential in the healthcare industry, particularly in the fields of computer-assisted surgeries, surgical training, and medical robotics. The system's enhanced precision, speed, and safety features can lead to improved patient outcomes, reduced recovery times, and increased adoption rates among surgeons.
CPC Classifications
| Section | Class | Group |
|---|---|---|
| A | A61 | A61B17/15 |
| A | A61 | A61B17/142 |
| A | A61 | A61B17/1615 |
| A | A61 | A61B17/1703 |
| A | A61 | A61B34/20 |
| A | A61 | A61B34/30 |
| A | A61 | A61B34/76 |
| A | A61 | A61B17/157 |
| A | A61 | A61B34/25 |
| A | A61 | A61B90/03 |
| A | A61 | A61B2017/00128 |
| A | A61 | A61B2034/105 |
| A | A61 | A61B2034/2055 |
Section 103 Obviousness Analysis (PHOSITA)
Field of Art
Surgical robotics and computer-assisted medical systems, specifically focusing on haptic feedback, robotic tool control, and surgical navigation technologies. Requires advanced understanding of robotics, machine learning, sensor integration, and surgical procedural workflows
Person of Ordinary Skill (PHOSITA) Profile
A biomedical engineer or robotics specialist with expertise in surgical systems, machine learning algorithms, sensor design, and human-machine interaction. Possesses advanced degrees in biomedical engineering, computer science, or related fields with practical experience in developing medical robotics
Obviousness Rationale
A PHOSITA would recognize that the PTD's variations represent predictable technological extensions of the source patent's foundational surgical robotics framework. The integration of neural networks, machine learning, and autonomous movement are natural progressions in surgical system design, leveraging known computational techniques to enhance existing robotic surgical platforms. The disclosed variations demonstrate incremental improvements that would be obvious to a skilled practitioner seeking to optimize surgical precision and automation.
Obvious Combinations & Variations
Original Patent Information
| Patent Number | US 11,857,201 |
|---|---|
| Title | Surgical system with automated alignment |
| Assignee(s) | MAKO Surgical Corp. |