NIH R01 · 2024
PROJECT SUMMARY / ABSTRACT In the U.S., trauma is the leading cause of death for those 1-45 years old and hemorrhage remains the largest contributing factor to preventable death. Providers must rapidly identify those suffering from hemorrhage to optimize outcome, but internal bleeding remains difficult to diagnose even for experienced clinicians. Little is known on presentation about those suffering from occult hemorrhage and providers must quickly make treatment decisions in these time-pressured, time-sensitive clinical scenarios. This proposal seeks to develop through artificial intelligence, a type of advanced machine learning, prediction algorithms that could be deployed at the bedside…
From the public funding record at NIH RePORTER. Describes the funded project, not the reviews below.