AI in Critical Care—Use for De-Escalation Rather Than Escalation of Care
This Viewpoint examines the gap between the development of artificial intelligence (AI) models in pediatric intensive care and their use in clinical practice and proposes deployment of AI models during specific phases of care.
Authors
- Steven M. Schwartz (ORCID: https://orcid.org/0000-0002-8563-5130)
- Avihu Z. Gazit (ORCID: https://orcid.org/0000-0002-6211-2636)
- Peter C. Laussen
- Joshua W. Salvin (ORCID: https://orcid.org/0000-0002-1255-3628)
Institutions
- Boston Children's Hospital (US)
- Harvard University (US)
- University of Toronto (CA)
- Hospital for Sick Children (CA)
- Children's Hospital of Pittsburgh (US)
Publication Details
- Journal
- JAMA Pediatrics
- Published
- 2026-01-05
- DOI
- https://doi.org/10.1001/jamapediatrics.2025.5450
- Citations
- 1
- Primary Topic
- Artificial Intelligence in Healthcare and Education
- Type
- article
- Field-Weighted Citation Impact
- 17.70