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Fully flexing the potential of AI in intensive care: reinforcement learning with randomization when needed

Paul Elbers¹, Ari Ercole², Derek C Angus³

¹Department of Intensive Care Medicine, Center for Critical Care Computational Intelligence (C4I), Amsterdam Medical Data Science (AMDS), Amsterdam Cardiovascular Science (ACS), Amsterdam Institute for Immunology and Infectious Diseases (AI&I), Amsterdam Public Health (APH), Amsterdam UMC, University of Amsterdam, Vrije Universiteit, Amsterdam, The Netherlands. p.elbers@amsterdamumc.nl.

Intensive Care Medicine

|August 17, 2026

Abstract

No abstract available in PubMed .

Keywords:

Agentic AI Artificial intelligence Generative AI Randomized controlled trials Real-world data Reinforcement learning

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