Improving sepsis care with Artificial Intelligence. What would Illich say?
INTRODUCTION Sepsis remains the leading cause of death in critical care and in hospitals. Artificial Intelligence (AI) is touted as having the potential to transform sepsis care through early recognition, personalized treatment, and enhanced decision-making. The need for these novel AI approaches is clearly endorsed by the Surviving Sepsis Campaign community, which recently produced a […]
Authors
- Rodrigo Octávio Deliberato (ORCID: https://orcid.org/0000-0002-1869-8828)
- Teresa Rincon (ORCID: https://orcid.org/0000-0003-2655-2543)
- Matthieu Komorowski (ORCID: https://orcid.org/0000-0003-0559-5747)
- Leo Anthony Celi
- Maria del Pilar Arias López
Institutions
- University of Massachusetts Chan Medical School (US)
- Charing Cross Hospital (GB)
- Hospital General de Niños Ricardo Gutierrez (AR)
- Massachusetts Institute of Technology (US)
- University of Cincinnati Medical Center (US)
Publication Details
- Journal
- Critical Care Science
- Published
- 2025-12-18
- DOI
- https://doi.org/10.62675/2965-2774.20260261
- Primary Topic
- Sepsis Diagnosis and Treatment
- Type
- article
- Field-Weighted Citation Impact
- 0.00