aceArtificial intelligence and digital technologies transforming neonatal respiratory assessment: a scoping review
Digital technologies and artificial intelligence (AI) have been increasingly incorporated into neonatal care, particularly in respiratory assessment. However, structured evidence regarding their clinical applications, performance, and limitations remains limited. This scoping review analyzed 35 studies published between 2019 and 2026 to map the use of digital technologies and AI in neonatal respiratory assessment. The findings showed that these approaches are mainly applied to predictive models, medical image an…
Scoping review of 35 studies found AI and digital tools applied to predictive models, imaging analysis, and continuous monitoring showed potential for early diagnosis and prediction of neonatal respiratory outcomes.
Same body of studies was found to be not yet ready for widespread clinical implementation due to lack of robust external validation, small samples, and absence of standardized protocols.
Evidence limited by methodological heterogeneity, lack of robust external validation, small sample sizes, and absence of protocol standardization, with no demonstrated clinical impact yet.
Evidence
- Peer-reviewedJournal of Perinatology2026-10-02
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Truvace Impact Record TRV-2026-1275, v1: “Artificial intelligence and digital technologies transforming neonatal respiratory assessment: a scoping review.” Truvace, 2026-10-04. /record/TRV-2026-1275 (accessed at citation time). sha256 138fe1aad588011a…
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