Development and validation of a machine learning–based, point-of-care risk calculator for post-ERCP pancreatitis and prophylaxis selection

This study demonstrates the feasibility and utility of a novel machine learning-based PEP risk estimation tool with high negative predictive value to aid in prophylaxis selection and identify patients at low risk who may not require extended postprocedure monitoring.