Development and validation of machine learning models to predict the need for haemostatic therapy in acute upper gastrointestinal bleeding.

We developed and validated a machine learning algorithm with high accuracy and specificity in predicting the need for haemostatic therapy in AUGIB. This could be used to risk stratify high-risk patients to urgent endoscopy.