Artificial Intelligence in Critical Care Medicine

Key Points

• To review the current state, emerging applications, and clinical implementation challenges of artificial intelligence in intensive care and critical care medicine.
• Narrative review synthesizing clinical applications of computational algorithms and predictive models within intensive care units as part of the Annual Update in Intensive Care and Emergency Medicine 2022.
• Highlights the integration of machine learning algorithms for real-time patient monitoring, early detection of physiological deterioration, and clinical decision support.
• Identifies primary barriers to clinical translation, including data heterogeneity, model interpretability, validation across diverse intensive care populations, and bedside workflow integration.