Abstract: With the advancement of surgical techniques and perioperative management, liver transplantation has become an effective method to save the lives of patients with end-stage liver disease. However, the imbalance between organ supply and demand remains a significant challenge, and the decision-making process for liver transplantation still faces many difficulties. Artificial intelligence can efficiently extract features and establish connections from complex factors, benefiting clinical decision-making in liver transplantation through data-driven approaches. These include optimizing pre-transplant candidate eligibility decisions and donor-recipient matching, predicting the risk factors for disease recurrence and other related complications after transplantation, and guiding the management of liver transplant recipients. Therefore, this article reviews the application of artificial intelligence in organ allocation, donor liver evaluation, post-operative recurrence of hepatocellular carcinoma, and prediction of post-operative complications in liver transplantation, aiming to provide a reference for the research and development of artificial intelligence in the field of liver transplantation.