Synergistic Force-Sensed Surface Scanning Systems

Integrating force-sensed surface scanning with AI, IoT, blockchain, and advanced materials to create a more accurate and efficient system for registering intraoperative surface-scanned volume models with preoperative image-segmented volume models of anatomical organs.

The original patent disclosed systems, devices, controllers, and methods for force-sensed surface scanning of anatomical organs. However, the patent's limitations included the lack of integration with other technologies to enhance the accuracy and efficiency of the system. The new inventive concept addresses these limitations by synergistically combining force-sensed surface scanning with AI, IoT, blockchain, and advanced materials.

The new inventive concept comprises a robotic system, a surface scanning controller, and an artificial intelligence module that integrates preoperative imaging data with intraoperative surface scanning data to generate a hybrid volume model of an anatomical organ. The system also includes a blockchain-based ledger to validate the accuracy of the constructed intraoperative volume model. Additionally, the surface scanning controller incorporates a machine learning module to predict surface deformation offsets based on force sensing data. The system can also transmit force sensing data to a remote server for analysis and processing using IoT technology. Furthermore, the surface scanning end-effector can be designed with advanced materials, such as shape-memory alloys, to enhance the accuracy of the force sensing data.

The new claims introduce the synergistic combination of force-sensed surface scanning with AI, IoT, blockchain, and advanced materials, which provides a non-obvious solution to the limitations of the original patent. The integration of these technologies enables a more accurate and efficient system for registering intraoperative surface-scanned volume models with preoperative image-segmented volume models of anatomical organs.

Alternative embodiments of the inventive concept could include the use of different AI algorithms, IoT protocols, or blockchain architectures. Additionally, the system could be designed to accommodate various types of anatomical organs or medical procedures. The surface scanning end-effector could also be modified to incorporate different advanced materials or sensing technologies.

The synergistic force-sensed surface scanning system has significant commercial potential in the medical device industry, particularly in the fields of surgical navigation, medical imaging, and robotic-assisted surgery. The system's ability to provide more accurate and efficient registration of intraoperative surface-scanned volume models with preoperative image-segmented volume models could lead to improved patient outcomes, reduced surgical times, and enhanced medical decision-making.