What question did this study set out to answer?

The aim of this review is to explore the current applications of artificial intelligence in intensive care units and identify gaps in clinical practice.

April 3, 2026Open Access

Artificial intelligence in intensive care units: a scoping review addressing the translational gap to clinical practice

FZFrancesco ZarantonelloUniversity of Padua ACAlessandro De CassaiMetroHealth TPTommaso PettenuzzoUniversity of Padua

Key Points

The aim of this review is to explore the current applications of artificial intelligence in intensive care units and identify gaps in clinical practice.
Conducted a scoping review of AI applications in intensive care settings.
Analyzed various studies on the use of AI for patient care and workflow improvements.
Identified challenges in explainability and implementation of AI technologies.
AI in ICUs shows potential to enhance patient care and operational efficiency.
There is a notable gap in translating AI research into clinical practice.
Future research needs to focus on multicenter validation and practical implementation strategies.

Abstract

AI applications in ICUs have expanded rapidly and show substantial promise for improving patient care and workflow efficiency. Future research should prioritize prospective multicenter validation, explainability, and implementation science to ensure the safe and effective integration of AI into critical care.

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