Intelligent Anatomical Organ Surface Scanning Systems

Next-generation surface scanning systems for anatomical organs, integrating machine learning, real-time biomechanical modeling, and multi-modal sensing for enhanced accuracy, personalization, and robotic-assisted surgical planning.

The original patent disclosed systems, devices, controllers, and methods for surface scanning of anatomical organs. However, these systems were limited by their inability to predict tissue deformation, integrate biomechanical properties, and provide real-time feedback. The new inventive concept addresses these limitations by introducing machine learning, real-time biomechanical modeling, and multi-modal sensing to enhance the accuracy and personalization of surface scanning.

The new inventive concept comprises a system for real-time biomechanical modeling of anatomical organs, integrating a machine learning module trained on a database of viscoelastic property parameters and scanned force parameters to predict tissue deformation in response to contact forces. The system further includes a surface scanning controller structurally configured to adjust the scanning path in real-time based on the predicted tissue deformation. Additionally, the system incorporates a multi-modal sensor array capable of detecting changes in tissue stiffness, temperature, and electrical impedance, and a micro-actuator for applying controlled contact forces to the anatomical organ. The system can be used for generating personalized digital twins of anatomical organs, robotic-assisted surgical planning, and non-invasive monitoring of anatomical organ function.

The new claims introduce the use of machine learning for real-time biomechanical modeling, multi-modal sensing for enhanced data acquisition, and micro-actuation for controlled contact forces. These features, combined with the integration of biomechanical properties and real-time feedback, provide a novel and non-obvious solution for anatomical organ surface scanning.

Alternative embodiments of the inventive concept could include the use of different machine learning algorithms, sensor modalities, or actuation mechanisms. Variations could also include the application of the system to different anatomical organs or the integration of additional data sources, such as medical imaging or patient-specific data.

The new inventive concept has significant commercial potential in the medical device and healthcare industries, particularly in the areas of surgical planning, personalized medicine, and non-invasive diagnostics. The system could be marketed as a standalone device or integrated into existing surgical systems, offering a competitive advantage in terms of accuracy, speed, and personalized care.