Development and external evaluation of an interpretable machine-learning model for early prediction of organ failure in higher-risk acute pancreatitis patients: A multicentre cohort study

Organ failure (OF) is the most important determinant of prognosis in acute pancreatitis (AP) and its duration defines disease severity. Early identification of individuals at high risk of developing OF is crucial. We aimed to develop machine-learning models, benchmarked against a feedforward multil