Personalized Peritoneal Dialysis System with AI-Driven Optimization

A next-generation automated peritoneal dialysis system that leverages AI, wearable sensors, and cloud-based interfaces to optimize personalized treatment regimens, predicting ultrafiltration curves, and enhancing patient outcomes.

The original patent's automated peritoneal dialysis system, while adaptable to patient needs, lacks real-time monitoring and AI-driven optimization. The new inventive concept addresses this limitation by integrating wearable sensors, machine learning, and cloud-based collaboration to provide personalized treatment regimens, improving solute clearance and ultrafiltration.

The system comprises a wearable sensor for monitoring physiological responses to different dialysate formulations, a machine learning module for generating predictive models of ultrafiltration and solute clearance, and a cloud-based interface for remote consultation and collaboration between healthcare professionals and patients. The system can predict individual ultrafiltration curves, optimize treatment regimens using genetic algorithms, and provide real-time feedback on treatment efficacy.

The new claims introduce AI-driven optimization, wearable sensors, and cloud-based collaboration, which are not present in the original patent. The inventive step lies in the integration of these components to provide personalized treatment regimens, enabling real-time monitoring and adaptation to patient needs.

Alternative embodiments may include the use of different types of sensors, such as implantable or ingestible sensors, or the integration of additional data sources, such as electronic health records or patient-reported outcomes. Variations may include the use of different machine learning algorithms or the development of specialized software for specific patient populations.

The inventive concept has significant commercial potential in the medical device industry, particularly in the peritoneal dialysis market. The system's ability to optimize treatment regimens and improve patient outcomes can lead to increased adoption and market share. Target industries include healthcare providers, medical device manufacturers, and pharmaceutical companies.