AI-Driven Knee Resection and Gap Balancing System for Kinematic Alignment

A synergistic combination of AI, IoT, blockchain, and smart materials to optimize knee resection and gap balancing for kinematic alignment in total knee arthroplasty, enhancing surgical accuracy, efficiency, and patient outcomes.

Current knee resection and gap balancing instruments and techniques lack real-time adaptability and precision, leading to suboptimal kinematic alignment and compromised patient outcomes. The present inventive concept addresses these limitations by integrating cutting-edge technologies to create a more powerful and accurate system.

The AI-driven knee resection and gap balancing system comprises a tibial positioner device integrated with an AI-powered kinematic alignment module, IoT-enabled sensors, a blockchain-secured database, and a smart material-based actuator. The system optimizes cutting plane orientation based on patient-specific anatomy and movement patterns, monitors and adjusts gap balancing in real-time, and enables secure storage and access of patient-specific alignment data. The system's components work synergistically to provide a more accurate, efficient, and personalized surgical experience.

The inventive concept's novelty lies in the synergistic combination of AI, IoT, blockchain, and smart materials to create a more powerful and accurate knee resection and gap balancing system. The integration of these distinct technologies enables real-time adaptability, precision, and personalization, which is not achievable with current instruments and techniques.

Alternative embodiments may include the use of other AI algorithms, IoT sensor configurations, or blockchain architectures. Variations may also involve integrating the system with other surgical instruments or platforms, or using different smart materials for the actuator.

The AI-driven knee resection and gap balancing system has significant commercial potential in the orthopedic and medical device industries, with potential applications in hospitals, surgical centers, and outpatient clinics. The system's ability to enhance surgical accuracy, efficiency, and patient outcomes may lead to increased adoption and market share.