Synergistic Depth Sensing for Automated Surgical Robots

A novel system integrating multi-modal sensing, AI, IoT, blockchain, and new materials to enhance the accuracy and security of automated surgical robots.

The original patent addressed the need for accurate depth sensing in automated surgical robots. However, it had limitations in terms of data security, real-time monitoring, and personalized surgical planning. The new inventive concept solves these problems by synergistically combining the patented inventive concept with other distinct technologies.

The system comprises a computer vision module utilizing machine learning algorithms to detect and track fiducial markers on an object, a sensor fusion module integrating depth measurements from multiple imaging modalities, and a blockchain-based data storage module for secure and decentralized storage of surgical data. The system can also be integrated with AI-assisted surgical planning, IoT-enabled real-time monitoring, and 3D printing of customized surgical tools using new materials.

The new claims introduce novel synergistic combinations of technologies, including AI, IoT, blockchain, and new materials, which provide a significant improvement over the original patent. The inventive step lies in the integration of these technologies to create a more powerful and secure system for automated surgical robots.

Alternative embodiments could include the use of different machine learning algorithms, various blockchain protocols, or alternative imaging modalities. Variations could also include the integration of additional sensors or the use of different materials for 3D printing.

The inventive concept has significant commercial potential in the medical robotics industry, particularly in applications such as minimally invasive surgeries, robotic-assisted surgeries, and personalized medicine. The target market includes hospitals, medical research institutions, and medical device manufacturers.