Early clinical decision support using interpretable artificial intelligence in acute illness (sepsis and infection): A systematic review and meta-analysis.

Interpretable artificial intelligence-based clinical decision support systems models demonstrated good overall discrimination for sepsis detection but only moderate performance for mortality prediction.

Explainability methods provided insight into model outputs; however, the included studies did not directly evaluate clinician trust, adoption, behavioral responses, or patient-level implementation outcomes.

Confidence in the findings is limited by substantial heterogeneity and predominantly high risk of bias.