The possible role of artificial intelligence in deciding postnatal steroid management in extremely premature ventilated infants

Author:

Bottu A.1,Manzar S.1

Affiliation:

1. Department of Pediatrics, Louisiana State University Health Shreveport, Shreveport, LA, USA

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.

Publisher

IOS Press

Subject

Pediatrics, Perinatology and Child Health

Reference12 articles.

1. An overview of clinical decision support systems: Benefits, risks, and strategies for success;Sutton;NPJ Digit Med,2020

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3. Late (≥7 days) systemic postnatal corticosteroids for prevention of bronchopulmonary dysplasia in preterm infants;Doyle;Cochrane Database Syst Rev,2021

4. Postnatal steroid management in preterm infants with evolving bronchopulmonary dysplasia;Htun;J Perinatol,2021

5. Systemic corticosteroid regimens for prevention of bronchopulmonary dysplasia in preterm infants;Onland;Cochrane Database Syst Rev,2023

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