Preventing sepsis; how can artificial intelligence inform the clinical decision-making process? A systematic review

•Sepsis definition and predictors type influenced the predictive power and predictive timeframe of the developed algorithms.•We have identified the most prevalent 13 predictors for the development of sepsis prediction algorithms.•Predicting the likelihood of sepsis through artificial intelligence can concentrate finite resources to patients at risk.