The Use of Artificial Intelligence in Sepsis


  • Incorporating artificial intelligence into sepsis is a complex and challenging issue.
  • Artificial intelligence algorithms in sepsis may be applied to: prediction; prognosis; mortality prediction; and optimal management.
  • Limited data suggests artificial intelligence may provide a new approach to sepsis, but optimal provider input and considerations remain elusive.


  • Artificial Intelligence (AI) is the ability of computers to recognize patterns, inference and decision making.
  • Although sepsis makes an ideal candidate for the application of AI, it is a complex and challenging problem due to:
    • Lack of a specific definition
    • Heterogeneity of various definitions
  • There are several areas of sepsis identification and management where AI may be of benefit:
    • Early prediction of sepsis
    • Patient prognosis
    • Mortality prediction
    • Optimal management
  • To date there are only 2 published prospective randomized clinical investigations assessing the potential benefit of AI sepsis models.

  • These 2 studies demonstrate:

    • Improved antibiotic administration times from time of ED presentation

    • Improved hospital and ICU length of stay

    • Improved hospital mortality



  • AI models may have differing outcomes due to significant heterogeneity of sepsis criteria.

  • Area under the curve metrics should be combined with clinical outcomes

  • The current AI models have limitations requiring further evaluation.

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Erkan Hassan is the Co-Founder & Chief Clinical Officer of Sepsis Program Optimization where he designs & oversees the implementation of solutions to optimize sepsis programs.

To discuss your organization’s Barriers of Effective Sepsis Care, contact Erkan by phone (844) 4SEPSIS (844-473-7747), email (, or video chat.