The possible role of artificial intelligence in deciding postnatal steroid management in extremely premature ventilated infants.
Journal:
Journal of neonatal-perinatal medicine
PMID:
38043021
Abstract
Clinical decision support (CDS) has shown a positive effect on physicians. There is variability among physicians about using postnatal steroids (PNS) in preterm (PT) infants. It is, therefore, essential to develop tools supporting the decision to use PNS in PT infants. We propose a model using online tools such as CDS in deciding to use PNS in PT infants. We combined the online bronchopulmonary dysplasia (BPD) estimator and extubation success calculator tools to be used as a simple bedside tool assisting decisions about using PNS in ventilated PT infants.