Mortality risk prediction in liver transplant candidates: a prognostic model using key clinical variables

This study developed internally validated prognostic models and a clinically interpretable nomogram to predict mortality among liver transplant candidates. The findings support individualized risk assessment and represent an important first step toward integrating machine learning into transplant decision-making. However, external and multicenter validation is required before clinical implementation.