AI-Integrated Implantable Intraluminal Devices for Enhanced Performance and Safety

This inventive concept combines implantable intraluminal devices with AI, IoT, and blockchain technologies to create a more powerful system for real-time monitoring, data analysis, and secure storage of patient data, ultimately improving device performance and patient safety.

The original patent disclosed an implantable intraluminal device with a helically arranged membranous strip and support member. However, the device lacked real-time monitoring capabilities, data analytics, and secure data storage, limiting its potential for optimal performance and patient safety. This new inventive concept addresses these limitations by integrating AI-powered sensors, data analytics platforms, and blockchain-based secure data storage systems, enabling real-time monitoring, predictive analytics, and secure data sharing.

The AI-integrated implantable intraluminal device system comprises a stent graft device with integrated AI-powered sensors for real-time monitoring of fluid flow and pressure. The system also includes a data analytics platform for processing sensor data and predicting potential complications, and a blockchain-based secure data storage system for storing and sharing patient data. The device's performance can be optimized using machine learning algorithms, which train on a dataset of device performance metrics to predict optimal device configurations for specific patient anatomies. The device can also be designed using generative adversarial networks, which generate device designs based on patient-specific anatomy data and evaluate them based on performance metrics. Furthermore, the device can be integrated with IoT connectivity, enabling wireless communication and power harvesting from fluid flow. Edge computing can be used for real-time monitoring of device performance, processing data at the device-tissue interface and transmitting alerts and notifications to healthcare professionals.

The new claims introduce the novel combination of AI, IoT, and blockchain technologies with implantable intraluminal devices, enabling real-time monitoring, predictive analytics, and secure data sharing. This integration provides a non-obvious solution to the limitations of the original patent, offering a significant improvement in device performance and patient safety.

Alternative embodiments of the inventive concept could include integrating other distinct technologies, such as computer vision or natural language processing, to further enhance device performance and patient safety. Variations of the system could also be designed for specific patient populations or anatomical locations, ensuring broad conceptual coverage.

The AI-integrated implantable intraluminal device system has significant commercial potential in the medical device industry, particularly in the fields of cardiovascular and endovascular medicine. The system's ability to provide real-time monitoring, predictive analytics, and secure data sharing could revolutionize patient care and improve health outcomes, making it an attractive solution for healthcare providers and patients alike.