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A growing body of evidence indicates that AI models developed using ensemble learning or deep learning algorithms demonstrate significantly greater discriminative performancecommonly measured by the AUROCfor predicting key clinical outcomes, such as AP severity, organ failure, and mortality, than traditional scoring methods do