AI-Integrated Vessel Flow Control Systems

The invention integrates vessel flow control devices with AI, IoT, blockchain, and new materials to create a personalized, real-time, and secure treatment system for afflicted vessels and vessel-associated tissues.

The original patent addressed vessel flow control, but its limitations included lack of real-time monitoring, limited data analysis, and inadequate security measures. The new inventive concept overcomes these limitations by integrating distinct technologies to provide a more effective, efficient, and secure treatment system.

The AI-Integrated Vessel Flow Control Systems comprise a vessel flow control device integrated with an AI-powered diagnostic module to predict optimal occlusion factors based on real-time patient data. The system also includes a blockchain-based secure data storage module for recording treatment outcomes, IoT sensors to monitor vessel conditions, and a micro-electromechanical system (MEMS) to provide precise control over occlusion factors. Additionally, the system incorporates a nanomaterial-based biosensor to monitor biomarkers indicative of vascular tissue health and a machine learning algorithm to adjust the occlusion factor based on real-time biomarker data.

The new claims introduce the integration of AI, IoT, blockchain, and new materials into vessel flow control devices, providing a novel and non-obvious solution that significantly improves the treatment of afflicted vessels and vessel-associated tissues.

Alternative embodiments may include integrating the vessel flow control device with other technologies, such as robotics or advanced imaging modalities. Variations may include adapting the system for use in different vascular territories or incorporating additional biomarkers for more personalized treatment.

The AI-Integrated Vessel Flow Control Systems have significant commercial potential in the medical device industry, particularly in the areas of cardiovascular and neurovascular treatment. The target market includes hospitals, clinics, and medical research institutions.