Using Artificial Intelligence for Predicting Survival of Individual Grafts in Liver Transplantation: A Systematic Review
Laura R. Wingfield, Carlo Ceresa, Simon Thorogood, Jacques Fleuriot, Simon Knight – 9 April 2020 – The demand for liver transplantation far outstrips the supply of deceased donor organs, and so, listing and allocation decisions aim to maximize utility. Most existing methods for predicting transplant outcomes use basic methods, such as regression modeling, but newer artificial intelligence (AI) techniques have the potential to improve predictive accuracy.