Algorithmic prognostication in critical care: a promising but unproven technology for supporting difficult decisions.

Journal: Current opinion in critical care
Published Date:

Abstract

PURPOSE OF REVIEW: Patients, surrogate decision makers, and clinicians face weighty and urgent decisions under uncertainty in the ICU, which could be aided by risk prediction. Although emerging artificial intelligence/machine learning (AI/ML) algorithms could reduce uncertainty surrounding these life and death decisions, certain criteria must be met to ensure their bedside value.

Authors

  • Gary E Weissman
    1 Pulmonary, Allergy, and Critical Care Division, Hospital of the University of Pennsylvania.
  • Vincent X Liu
    3 Division of Research, Kaiser Permanente, Oakland, California.