Artificial intelligence based predictive models for early sepsis detection in intensive care units: a scoping review - Takeaways - MDSpire

Artificial intelligence based predictive models for early sepsis detection in intensive care units: a scoping review

  • By

  • Mariana González Garcés

  • Juanita Valencia García

  • Camilo Jiménez Triana

  • Jerónimo Cárdenas Montoya

  • Erwin Hernando Hernández Rincón

  • May 21, 2026

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  • 1

    Early detection of sepsis in intensive care units is challenging, with AI-based predictive models emerging as potential tools for improvement.

  • 2

    A scoping review identified 37 studies on AI models for early sepsis detection, primarily using retrospective electronic health record data.

  • 3

    Most AI models demonstrated high discriminatory performance but lacked external validation and clinical integration.

  • 4

    Key challenges include methodological heterogeneity, limited real-world applicability, and insufficient focus on implementation.

  • 5

    Future research should emphasize methodological transparency and the evaluation of AI models in clinical settings.

Original Source(s)

Artificial intelligence based predictive models for early sepsis detection in intensive care units: a scoping review

  • by Mariana González Garcés, Juanita Valencia García, Camilo Jiménez Triana, Jerónimo Cárdenas Montoya, Erwin Hernando Hernández Rincón

  • May 21, 2026

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