Intelligent Ultrasound System with Synergistic Technologies

An innovative system that integrates AI, IoT, blockchain, and machine learning to enhance ultrasound-guided biopsies, providing real-time lesion tracking, secure data storage, and personalized diagnosis.

The original patent addresses the limitations of MRI-guided biopsies, but the new inventive concept takes a significant leap forward by incorporating synergistic technologies to overcome the challenges of data security, real-time tracking, and personalized diagnosis.

The system comprises a blockchain-based data storage module for secure patient-specific imaging data, a machine learning module for analyzing imaging data and identifying potential lesions, an IoT-enabled sensor network for tracking the spatial orientation of the ultrasound transducer probe, and an AI-powered lesion detection module for real-time tracking. The system generates a composite image combining MRI and ultrasound data, taking into account the spatial orientation of the transducer probe, and presents the analyzed data to the operator in a visually intuitive manner.

The new claims introduce the innovative combination of AI, IoT, blockchain, and machine learning to enhance ultrasound-guided biopsies, providing a significant improvement over the original patent's limitations. The integration of these technologies enables real-time lesion tracking, secure data storage, and personalized diagnosis, which is not obvious from the original patent.

Alternative embodiments may include using different types of sensors or probes, integrating additional AI algorithms for image analysis, or incorporating other secure data storage solutions. Variations may include adapting the system for use in different medical specialties or developing mobile applications for remote monitoring and consultation.

The inventive concept has significant commercial potential in the healthcare industry, particularly in the fields of radiology, urology, and oncology. The system's ability to provide real-time lesion tracking, secure data storage, and personalized diagnosis can improve patient outcomes, reduce costs, and enhance the overall quality of care.