Artificial Intelligence for Risk Stratification in Upper Gastrointestinal Bleeding

Abstract

Upper gastrointestinal bleeding is a common medical emergency requiring prompt risk assessment. This study developed an artificial intelligence–based model to predict clinical outcomes in patients presenting with upper gastrointestinal bleeding. Using clinical and laboratory data from over 2,000 patients, the model demonstrated superior predictive accuracy compared with traditional scoring systems. Early identification of high-risk patients may improve triage decisions and optimize resource allocation in emergency settings.