This comprehensive critical review critically examines the ethical implications associated
with integrating chatbots into nephrology, aiming to identify concerns, propose policies, and …

The explosive growth of artificial intelligence (AI) technologies, especially deep learning
methods, has been translated at revolutionary speed to efforts in AI-assisted healthcare …

Recent advances in surgical, immunosuppressive and monitoring protocols have led to the
significant improvement of overall one-year kidney allograft outcomes. Nonetheless, there …

Background: ChatGPT is a novel tool that allows people to engage in conversations with an
advanced machine learning model. ChatGPT's performance in the United States Medical …

The exponential growth of artificial intelligence (AI) has allowed for its integration into
multiple sectors, including, notably, healthcare. Chatbots have emerged as a pivotal …

Healthcare organizations accept information technology in a management system. A huge
volume of data is gathered by healthcare system. Analytics offers tools and approaches for …

The incidence, prevalence, and progression of chronic kidney disease (CKD) conditions
have evolved over time, especially in countries that have varied social determinants of …

With the explosive growth of computational resources and data generation, deep machine
learning has been successfully employed in various applications. One important and …

Patient monitoring after kidney transplantation (KT) for early detection of allograft rejection
remains key in preventing allograft loss. Serum creatinine has poor predictive value to detect …

Background Hospitalized patients with hyperkalemia are heterogeneous, and cluster
approaches may identify specific homogenous groups. This study aimed to cluster patients …