As technology rapidly evolves, the integration of augmented intelligence—the synergy between human expertise and AI-driven insights—offers an unprecedented opportunity to transform the field of intensive care. By leveraging machine learning, predictive analytics, and real-time data interpretation, augmented intelligence can support faster, more accurate clinical decisions, enhance patient safety, and reduce cognitive burden on ICU teams.
This session will explore how intensive care units can overcome traditional limitations and responsibly adopt AI tools to improve outcomes, all while maintaining clinician control.

Key Learning Objectives:

• Explore the transformation from code to care: how AI can be translated into real clinical value in the ICU
• Gain insights into an ongoing project evaluating the implementation and impact of AI-driven tools in ICU settings

Topics & Speakers 

From code to care: making AI work in the ICU
Ari ERCOLE
Cambridge University Hospitals NHS Foundation Trust, Cambridge (UK)

Insights on the TRAIN initiative
Michel E. VAN GENDEREN
Erasmus Medical Centre, Rotterdam (NL)