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

Year: 2025

Type: article

Abstract: 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.

Source: F1000Research

DOI: 10.12688/f1000research.168817.1

Authors: Mahmoud Elmahdy, Rehan Ali, Tejasvini Khanna, Karthik Gnanapandithan, Daniel Kashani

Institutions: Mayo Clinic in Florida, Sahiwal Medical College, Maulana Azad Medical College

Language: English

Topic: Artificial Intelligence in Healthcare and Education

Subfield: Health Informatics

Field: Medicine

Domain: Health Sciences

SDG: Good health and well-being

Open Access status: gold

Estimated APC paid: $1,350