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Quantifying the climate and water footprint of artificial intelligence in anaesthesia and intensive care

Alain F Kalmar1, Guylian Stevens, Sarah Saxena

  • 1From the Department of Electronics and information systems, IBiTech, Ghent University (AFK, GS, PV), Department of Anaesthesia, Intensive Care and Pain Medicine, General Hospital Maria Middelares, Ghent (AFK), Department of Surgery, UMons, Research Institute for Health Sciences and Technology, University of Mons (SS), Department of Anaesthesiology, Helora, Mons, Belgium (SS), Department of Pediatric Anesthesia and Critical Care, La Paz University Hospital (PG), and IDIPaz Research Institute, Madrid, Spain (PG).

European Journal of Anaesthesiology
|April 7, 2026
PubMed
Abstract

No abstract available in PubMed .

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