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AI-powered surveillance of bronchiolitis in the Nirsevimab era: comparative performance of machine learning, deep

Marianna Costa1, Mohd Rashid Khan2, Luca Vedovelli2

  • 1Paediatric Emergency Division, Department of Women's and Children's Health, University of Padova, 35128, Padova, Italy.

BMC Emergency Medicine
|March 11, 2026
PubMed
Abstract

No abstract available in PubMed .

Keywords:
Artificial IntelligenceBronchiolitisDeep LearningElectronic Health RecordsEpidemiologic SurveillanceFree-text DiagnosisICD-9 CodingLarge Language ModelsMachine LearningNirsevimabPediatric Emergency DepartmentRespiratory Syncytial Virus

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Human respiratory syncytial virus (RSV) is a widespread pathogen that primarily targets infants and young children but also poses a serious health risk to elderly and immunocompromised individuals. Belonging to the Pneumoviridae family, RSV is a negative-sense, single-stranded RNA virus within the Pneumovirus genus. Its global health burden is significant, with millions of cases annually resulting in hospitalizations and mortality, particularly in resource-limited settings. Although most...