Smart transplant+: A HyCARE hybrid AI-cloud framework for intelligent donor-recipient matching, workflow automation,...

Organ transplantation is a life-saving medical intervention to reverse end-stage organ failure. Despite its life-saving potential, organ transplantation faces inefficiencies like organ shortages, long wait times, and rejection risks due to manual, clinically limited donor-recipient matching. The rapid growth of AI and cloud computing offers new opportunities to enhance organ transplantation. This study proposes Smart Transplant+, a HyCARE system enabling intelligent matching, decision-making, and process automation. The architecture leverages a huge Organ Transplant Dataset and the most advanced methods such as Feedforward Neural Networks and Genetic Algorithms to maximize donor-recipient matching. Gated Recurrent Units are utilized in pre-transplant risk prediction, and post-transplant care is augmented with real-time tracking by IoT-based wearable sensors. The system has been programmed using Python, along with software tools like TensorFlow for machine learning and AES encryption for secure data storage and transmission. The Smart Transplant+ system provides 95-98 % accuracy which is higher than existing methods in identifying suitable donors and recipients and the potential for successful transplantation, and greatly enhances organ transplant efficiency and success rate. This book illustrates the revolutionary potential of synergizing IoT, cloud technology, and AI to optimize transplant care and improve outcomes.