Artificial Intelligence in Cirrhosis: Diagnosis, Screening, and Evaluation for Liver Transplantation

<ns3:p>Artificial Intelligence (AI) is increasingly transforming the care of patients with cirrhosis and those undergoing liver transplantation (LT) through enhanced diagnostic accuracy, improved prognostication, and optimized resource utilization. Our review focuses on the growing application of AI, particularly machine learning (ML), in various stages of liver disease care. AI algorithms are more accurate than conventional methods in diagnosing, screening, and predicting the prognosis of cirrhosis. AI also enhances LT candidate selection by predicting pre- and post-transplant outcomes, such as survival, complications, and graft function, as well as identifying new biomarkers for individualized clinical decision-making. Artificial Intelligence has also played an essential role in revolutionizing donor-recipient matching and organ allocation for liver transplantation. Among the limitations, including data heterogeneity, interpretability, and absence of external validation, day-to-day clinical adoption is restricted. In the near future, AI can significantly contribute to diagnosis, prognosis, and decision-making in the context of cirrhosis and liver transplantation. As it becomes further developed and validated, it could serve as an impetus for the advancement of precision medicine in hepatology.</ns3:p>