Accessibility settings

Published on in Vol 28 (2026)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/103138, first published .
Alternative text does not exist

Revising Terminology and Phenotype Definitions for AI-Based Decision Support in Fluid Therapy: Call for Consensus

Revising Terminology and Phenotype Definitions for AI-Based Decision Support in Fluid Therapy: Call for Consensus

Audrius Andrijauskas   1 , MD, PhD ;   Tomas Jovaisa   1 , MD, PhD ;   Christer Svensen   2 , MBA, MD, PhD ;   Povilas Andrijauskas   3 , MD ;   Axel Kerroum   4 , MSc, MBA, MD ;   Vaidotas Marozas   5, 6 , PhD ;   Darius Dilijonas   7 , PhD

1 Clinic of Anaesthesiology and Intensive Care, Institute of Clinical Medicine, Faculty of Medicine, Vilnius University, Vilnius, Lithuania

2 Department of Clinical Science and Education, Section of Anesthesiology and Intensive Care, Karolinska Institutet Södersjukhuset, Stokholm, Sweden

3 Department of Anaesthesiology and Intensive Care, Vilnius University Hospital Santros Klinikos, Vilnius, Lithuania

4 Department of Anesthesiology and Intensive Care, Lausanne University Hospital (CHUV), Lausanne, Vaud, Switzerland

5 Biomedical Engineering Institute, Kaunas University of Technology, Kaunas, Lithuania

6 Electronics Engineering Department, Faculty of Electrical and Electronics Engineering, Kaunas University of Technology, Kaunas, Lithuania

7 Institute of Social Sciences and Applied Informatics, Kaunas Faculty, Vilnius University, Kaunas, Lithuania

Corresponding Author:

  • Axel Kerroum, MSc, MBA, MD
  • Department of Anesthesiology and Intensive Care
  • Lausanne University Hospital (CHUV)
  • Rue du Bugnon, 46
  • Lausanne, Vaud 1005
  • Switzerland
  • Phone: 41 213141111
  • Email: kerroum.axel@gmail.com