Developing artificial intelligence technology for pediatric pulmonology: Lessons from COVID‐19-Reference-Cited by-同舟云学术

Developing artificial intelligence technology for pediatric pulmonology: Lessons from COVID‐19

Published:2022-05-03 Issue:7 Volume:57 Page:1588-1589
ISSN:8755-6863
Container-title:Pediatric Pulmonology
language:en
Short-container-title:Pediatric Pulmonology

Author:

Nino Gustavo¹²^ORCID,Linguraru Marius G.²³⁴

Affiliation:

1. Division of Pediatric Pulmonary and Sleep Medicine Children's National Hospital Washington District of Columbia USA

2. Department of Pediatrics George Washington University School of Medicine and Health Sciences Washington District of Columbia USA

3. Department of Radiology George Washington University School of Medicine and Health Sciences Washington District of Columbia USA

4. Sheikh Zayed Institute for Pediatric Surgical Innovation Children's National Hospital Washington District of Columbia USA

Publisher

Wiley

Subject

Pulmonary and Respiratory Medicine,Pediatrics, Perinatology and Child Health

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/ppul.25901

Reference6 articles.

1. Clinical Characterization and Prediction of Clinical Severity of SARS-CoV-2 Infection Among US Adults Using Data From the US National COVID Cohort Collaborative

2. American Academy of Pediatrics.2021. Children and COVID‐19: state‐level data report. Accessed February 15 2022.https://www.aap.org/en/pages/2019-novel-coronavirus-covid-19-infections/children-and-covid-19-state-level-data-report/

3. RSV Epidemiology in Australia Before and During COVID-19

4. Pediatric lung imaging features of COVID‐19: A systematic review and meta‐analysis

5. Chest X‐ray lung imaging features in pediatric COVID‐19 and comparison with viral lower respiratory infections in young children

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