AI may predict transfusion needs to shield ICU patients from organ failure

This study is testing whether an artificial intelligence model can predict which critically ill patients in the intensive care unit (ICU) are at risk of developing multiple organ dysfunction syndrome (MODS), a serious complication where two or more organs fail. Researchers will collect data from about 2,600 adult ICU patients, including lab results, vital signs, and transfusion details, to build and validate the AI model. The goal is to help doctors make more precise transfusion decisions, potentially reducing organ failure and improving outcomes. This is an observational study, meaning no treatments are assigned—the AI model is being developed and tested using existing patient data.