Letter to the Editor: Early complications in split liver transplantation: An interpretable machine learning model requires multicenter validation

We read with interest the study by Wang et al entitled “Interpretable machine learning model for early complication prediction after split liver transplantation”. Split liver transplantation (SLT) expands the donor pool but is associated with an increased risk of early postoperative complications (EPCs) due to extended resection surfaces and altered partial graft hemodynamics. This study aimed to develop an interpretable machine learning (ML) framework for identifying risk factors of EPCs in adu