Letter to the Editor: Splitting the risk: Interpretable machine learning enters the era of split liver transplantation

Split liver transplantation (SLT) has always existed in a delicate tension between expanding access and accepting complexity. By converting one deceased donor liver into two grafts, SLT directly addresses the persistent organ shortage, but at the cost of extended transection planes, altered hemodynamics, and a consistently higher rate of early postoperative complications (EPC) compared with whole liver transplantation, especially biliary and vasculobiliary events. In this context, the work by Wa