Abstract: In recent years, significant progress has been made in kidney transplantation research, but long-term prognosis still faces many challenges, such as rejection and infection. Artificial intelligence, which simulates and executes algorithms and systems similar to human intelligence, it shows great potential in handling complex disease treatments and prognosis predictions. With the continuous advancements in artificial intelligence technologies like machine learning and deep learning, researchers have started to apply these technologies to predict and optimize long-term outcomes of kidney transplantation, achieving certain results. Therefore, this article reviews the application of artificial intelligence technologies in predicting kidney transplant outcomes, monitoring drug concentrations, and managing long-term complications. It explores the progress of artificial intelligence applications in long-term kidney transplant recipients, discusses potential limitations and solutions, and aims to provide new ideas for promoting the practical application and dissemination of artificial intelligence in the field of kidney transplantation.