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September 10, 2025Journal of Intensive Care Medicine

Early Detection of Sepsis Using Artificial Intelligence in Intensive Care Units: A Systematic Review and Meta-Analysis

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Authors

XJXiaomeng JiHHHuasong HuoLDLihua Dong

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Overview

Meta-analysis shows artificial intelligence achieves 76% sensitivity and 85% specificity in sepsis detection, implying significant clinical potential.

Key Points

  • Artificial intelligence achieves a pooled sensitivity of 0.76 and specificity of 0.85 for sepsis detection.
  • In the external validation set, sensitivity was 0.78, while specificity was 0.82, indicating reliable diagnostic performance.
  • This systematic review utilized a bivariate random-effects model to synthesize findings from 16 studies and 159,947 patients.
  • The high diagnostic performance highlights the potential of artificial intelligence, yet the substantial heterogeneity suggests careful evaluation of these results.

Cite This Study

Ji et al. (2025) studied this question.

synapsesocial.com/papers/68c23abeb210217d647817echttps://doi.org/10.1177/08850666251372499
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