Autonomous Suturing System for Minimally Invasive Surgery

An advanced suturing system integrating robotic arms, computer vision, and machine learning algorithms to enable real-time, adaptive suturing along a path, revolutionizing minimally invasive surgical procedures.

The original patent disclosed a method and apparatus for suturing along a path, but it relied on manual operation and lacked adaptability to variations in the sutured material. The present inventive concept addresses this limitation by introducing autonomous suturing capabilities, leveraging computer vision and machine learning to detect and respond to material variations in real-time.

The system comprises a robotic arm, a spiral suturing needle, a computer vision system, and a machine learning algorithm. The robotic arm moves the spiral suturing needle along the path, while the computer vision system captures image data and the machine learning algorithm processes it to detect variations in the sutured material. The system adjusts the needle's movement in real-time based on the detected variations, ensuring accurate and efficient suturing. The inventive concept also encompasses methods for real-time suturing, training machine learning algorithms, and utilizing augmented reality for visualization and guidance.

The integration of computer vision, machine learning, and robotic arms in a suturing system, enabling real-time adaptability to material variations, constitutes the novel and non-obvious aspect of the present inventive concept compared to the original patent.

Alternative embodiments may include using different types of needles or materials, incorporating additional sensors or feedback mechanisms, or integrating the system with other surgical instruments or platforms. Variations may also involve adapting the system for use in different surgical procedures or specialties.

The autonomous suturing system has significant commercial potential in the medical device industry, particularly in the areas of minimally invasive surgery, robotic-assisted surgery, and surgical training. Target markets include hospitals, surgical centers, and medical research institutions.