Intelligent Patient Interface Module (PIM) for Enhanced Intraluminal Imaging

An advanced PIM integrates wireless charging, AI, IoT, blockchain, and nanomaterial-based sensors to revolutionize intraluminal imaging, enabling real-time feedback, secure data sharing, and personalized treatment recommendations.

The original patent's PIM, while innovative, has limitations in terms of power supply, data analysis, and security. The new inventive concept addresses these limitations by integrating cutting-edge technologies to create a more powerful, efficient, and secure system for intraluminal imaging.

The Intelligent PIM consists of a wireless power system, an AI module for real-time image analysis, an IoT network for remote monitoring and alerts, a blockchain-based data storage and sharing system, and a nanomaterial-based sensor for biomarker detection. The PIM communicates wirelessly with a sensing device and a processing system, enabling seamless data transmission and analysis. The AI module provides real-time feedback to the sensing device, while the blockchain technology ensures secure data sharing with authorized healthcare professionals. The IoT network enables remote monitoring and real-time alerts, and the nanomaterial-based sensor detects biomarkers in a patient's blood, providing real-time diagnostic information.

The new claims introduce novel combinations of technologies, including AI, IoT, blockchain, and nanomaterial-based sensors, which are not obvious from the original patent. The inventive step lies in the integration of these distinct technologies to create a more powerful, efficient, and secure system for intraluminal imaging.

Alternative embodiments could include the use of different AI algorithms, IoT protocols, or blockchain architectures. Variations could also include the integration of additional sensors or technologies, such as machine learning or computer vision, to further enhance the system's capabilities.

The Intelligent PIM has significant commercial potential in the medical imaging industry, particularly in interventional cardiology and radiology. The system's ability to provide real-time feedback, secure data sharing, and personalized treatment recommendations could revolutionize the field of intraluminal imaging, with potential applications in hospitals, clinics, and research institutions.