Enhanced Surgical Visualization Systems with Predictive Analytics and AI-driven Tracking
Legal Citation
Summary of the Inventive Concept
An advanced surgical visualization system that integrates predictive analytics, machine learning, and augmented reality to optimize head-mounted display performance, enhance surgeon experience, and improve patient outcomes.
Background and Problem Solved
The original patent disclosed a system for adjusting and tracking head-mounted displays during surgery. However, it had limitations in terms of adjusting the display in real-time, ensuring accurate registration, and minimizing distractions. The new inventive concept addresses these limitations by incorporating predictive analytics, machine learning, and AI-driven object recognition to enhance the overall surgical experience.
Detailed Description of the Inventive Concept
The new system comprises a predictive analytics module that forecasts optimal display adjustments based on real-time surgical data and user preferences. It also includes a machine learning-based image processing module for registering the head-mounted display in a coordinate system, and a high-resolution display with real-time data analytics and customizable user interface. Additionally, the system utilizes artificial intelligence-driven object recognition to detect and adjust for changes in the surgical environment, ensuring accurate display registration and optimal surgical guidance. The system also includes a safety feature that detects potential hazards using computer vision and machine learning algorithms, and automatically adjusts the display's settings to minimize distractions and ensure surgeon attention on the surgical site.
Novelty and Inventive Step
The new inventive concept introduces predictive analytics, machine learning, and AI-driven object recognition to optimize head-mounted display performance, which is not disclosed in the original patent. The integration of these advanced technologies provides a novel and non-obvious solution to the limitations of the original patent.
Alternative Embodiments and Variations
Alternative embodiments of the inventive concept could include the use of different machine learning algorithms, varying levels of augmented reality integration, or the incorporation of additional sensors to enhance the system's accuracy and responsiveness. Variations could also include adapting the system for use in different types of surgeries or medical procedures.
Potential Commercial Applications and Market
The enhanced surgical visualization system has significant commercial potential in the medical technology industry, particularly in the areas of surgical navigation, robotics, and computer-assisted surgery. The system could be marketed to hospitals, surgical centers, and medical device manufacturers, with potential applications in a wide range of surgical specialties.
CPC Classifications
| Section | Class | Group |
|---|---|---|
| A | A61 | A61B90/37 |
| G | G02 | G02B27/0176 |
| G | G06 | G06F1/163 |
| A | A61 | A61B2017/00907 |
| A | A61 | A61B2090/372 |
| A | A61 | A61B2090/502 |
| G | G02 | G02B2027/0159 |
Section 103 Obviousness Analysis (PHOSITA)
Field of Art
Medical Imaging and Surgical Visualization Technologies, encompassing head-mounted display systems, surgical navigation, augmented reality interfaces, and computer-assisted surgical guidance systems
Person of Ordinary Skill (PHOSITA) Profile
A biomedical engineer or medical device designer with expertise in computer vision, augmented reality, medical imaging, and surgical interface technologies, holding advanced degrees in bioengineering or medical technology with 3-5 years of experience in developing surgical visualization systems
Obviousness Rationale
A person having ordinary skill in the art would recognize that integrating predictive analytics and machine learning into surgical head-mounted display systems represents a natural technological progression from the foundational tracking and adjustment mechanisms disclosed in the source patent. The PTD's variations leverage well-established machine learning techniques to enhance the core functionality of surgical display systems, applying known computational methods to solve existing technical challenges in surgical visualization. The incremental improvements in display registration, environmental adaptation, and user interface customization would be considered predictable extensions of the existing technological framework.
Obvious Combinations & Variations
Original Patent Information
| Patent Number | US 11,857,378 |
|---|---|
| Title | Systems for adjusting and tracking head mounted displays during surgery including with surgical helmets |
| Assignee(s) | OnPoint Medical, Inc. |