Using artificial intelligence to advance pediatric infection prevention and control
AI can be a valuable tool in recognizing and controlling infections in both the community and healthcare settings. However, more studies in pediatric populations are needed, including prospective studies that validate tools created and trained on retrospective cohorts.
Authors
- Theodore R. Pak (ORCID: https://orcid.org/0000-0002-1676-2523)
- Michael Aniskiewicz
- Thomas S. Murray (ORCID: https://orcid.org/0000-0003-4892-2322)
- Morgan Quan
Institutions
- Yale New Haven Hospital (US)
- Harvard University (US)
- University of California, Irvine (US)
- Yale University (US)
- Massachusetts General Hospital (US)
- Harvard Pilgrim Health Care (US)
- UC Irvine Health (US)
- Samueli Institute (US)
Publication Details
- Journal
- Current Opinion in Pediatrics
- Published
- 2026-01-19
- DOI
- https://doi.org/10.1097/mop.0000000000001540
- Primary Topic
- Neonatal and Maternal Infections
- Type
- article
- Field-Weighted Citation Impact
- 0.00