Shannon Walker

AI predicts blood clot risk in hospitalized children: VUMC study

An artificial intelligence tool developed at Vanderbilt accurately identified pediatric patients at high risk for blood clots in a clinical trial, with no difference in outcomes compared to a control group.

Predicting blood clots before they happen in pediatric patients

Monroe Carell Jr. Children’s Hospital at Vanderbilt has launched a study to determine the impact of a predictive model for identifying pediatric patients at risk for developing blood clots or venous thromboembolisms (VTEs).