Emad Awad advances responsible AI in health care, particularly in time-sensitive, high-stakes emergency care. By combining data science with bedside insight, he develops transparent and equitable predictive tools, including AI models to forecast emergency department wait times and support rapid clinical decision-making. A cornerstone of his work is the Utah Emergency Department Database, a first-of-its-kind data platform that helps emergency care teams make timely, informed decisions. He is currently piloting this tool at the U and plans to deploy it nationally. “I aim to ensure that predictive tools are transparent, equitable, and clinically meaningful,” Awad said. Through One-U RAI, he will also strengthen training pathways in ethical AI. “I am committed to preparing future health professionals to critically evaluate and responsibly apply AI in practice.”
